GECCO 2012:
Philadelphia, PA, USA - Companion Material
Terence Soule, Jason H. Moore (Eds.):
Genetic and Evolutionary Computation Conference, GECCO '12, Philadelphia, PA, USA, July 7-11, 2012, Companion Material Proceedings.
ACM 2012, ISBN 978-1-4503-1178-6 
Green and efficient energy applications of genetic and evolutionary computation (GreenGEC)
- Stephan Hutterer, Michael Affenzeller, Franz Auinger:
Evolutionary optimization of multi-agent controlstrategies for electric vehicle charging.
3-10
- Jamal Toutouh, Enrique Alba:
Green OLSR in VANETs with differential evolution.
11-18
- Dung H. Phan, Junichi Suzuki, Ray Carroll, Sasitharan Balasubramaniam, William Donnelly, Dmitri Botvich:
Evolutionary multiobjective optimization for green clouds.
19-26
- Evellyn S. Cavalcante, André L. L. de Aquino, Gisele L. Pappa, Antonio Alfredo Ferreira Loureiro:
Roadside unit deployment for information dissemination in a VANET: an evolutionary approach.
27-34
- Pavel Krömer, Lukás Prokop, Václav Snásel, Stanislav Misák, Jan Platos, Ajith Abraham:
Evolutionary prediction of photovoltaic power plant energy production.
35-42
Real world applications of evolutionary computation
- Nikhil Padhye:
Evolutionary approaches for real world applications in 21st century.
43-48
Automated design of algorithms
Evolutionary computation software systems
- François-Michel De Rainville, Félix-Antoine Fortin, Marc-André Gardner, Marc Parizeau, Christian Gagné:
DEAP: a python framework for evolutionary algorithms.
85-92
- Fernando E. B. Otero, Tom Castle, Colin G. Johnson:
EpochX: genetic programming in java with statistics and event monitoring.
93-100
- Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller:
On the architecture and implementation of tree-based genetic programming in HeuristicLab.
101-108
- Juan Julián Merelo Guervós, Carlos M. Fernandes, Antonio Miguel Mora, Anna Isabel Esparcia:
SofEA: a pool-based framework for evolutionary algorithms using CouchDB.
109-116
- Youssef S. G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni:
libCudaOptimize: an open source library of GPU-based metaheuristics.
117-124
- Andreas Beham, Erik Pitzer, Stefan Wagner, Michael Affenzeller, Klaus Altendorfer, Thomas Felberbauer, Martin Bäck:
Integration of flexible interfaces in optimization software frameworks for simulation-based optimization.
125-132
- Brian D. Connelly, Luis Zaman, Philip K. McKinley:
The SEEDS platform for evolutionary and ecological simulations.
133-140
- Andreas Scheibenpflug, Stefan Wagner, Erik Pitzer, Michael Affenzeller:
Optimization knowledge base: an open database for algorithm and problem characteristics and optimization results.
141-148
- Felix Dobslaw:
INPUT: the intelligent parameter utilization tool.
149-156
Black box optimization benchmarking 2012 (BBOB 2012)
- Tianjun Liao, Daniel Molina, Thomas Stützle, Marco Antonio Montes de Oca, Marco Dorigo:
An ACO algorithm benchmarked on the BBOB noiseless function testbed.
159-166
- Yao-Chen Chuang, Chyi-Tsong Chen:
Black-box optimization benchmarking for noiseless function testbed using a direction-based RCGA.
167-174
- Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed.
175-182
- Vinicius Veloso de Melo:
Benchmarking the multi-view differential evolution on the noiseless BBOB-2012 function testbed.
183-188
- Petr Poaík, Václav Klema:
Benchmarking the differential evolution with adaptive encoding on noiseless functions.
189-196
- Petr Poaík, Václav Klema:
JADE, an adaptive differential evolution algorithm, benchmarked on the BBOB noiseless testbed.
197-204
- Tom Schaul:
Benchmarking separable natural evolution strategies on the noiseless and noisy black-box optimization testbeds.
205-212
- Tom Schaul:
Benchmarking exponential natural evolution strategies on the noiseless and noisy black-box optimization testbeds.
213-220
- Tom Schaul:
Investigating the impact of adaptation sampling in natural evolution strategies on black-box optimization testbeds.
221-228
- Tom Schaul:
Benchmarking natural evolution strategies with adaptation sampling on the noiseless and noisy black-box optimization testbeds.
229-236
- Tom Schaul:
Comparing natural evolution strategies to BIPOP-CMA-ES on noiseless and noisy black-box optimization testbeds.
237-244
- Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris:
MEMPSODE: an empirical assessment of local search algorithm impact on a memetic algorithm using noiseless testbed.
245-252
- Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris:
MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework.
253-260
- Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed.
261-268
- Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 noiseless testbed.
269-276
- Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed.
277-284
- Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed.
285-290
- Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
On the impact of active covariance matrix adaptation in the CMA-ES with mirrored mutations and small initial population size on the noiseless BBOB testbed.
291-296
- Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed.
297-304
Evolutionary computation and multi-agent systems and simulation (ECoMASS)
- Xue-Feng Zhang, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa:
Hybrid particle swarm optimization and convergence analysis for scheduling problems.
307-314
- M. Ehsan Shafiee, Emily M. Zechman:
Integrating evolutionary computation and sociotechnical simulation for flushing contaminated water distribution systems.
315-322
- C. Jason Woodard, Eric K. Clemons:
Modeling technology evolution using generalized genotype-phenotype maps.
323-330
- Rinde R. S. van Lon, Tom Holvoet, Greet Vanden Berghe, Tom Wenseleers, Jürgen Branke:
Evolutionary synthesis of multi-agent systems for dynamic dial-a-ride problems.
331-336
- Sjors van Berkel, Daniel Turi, Andrei Pruteanu, Stefan Dulman:
Automatic discovery of algorithms for multi-agent systems.
337-344
- A. Pinar Ozisik, Kyle Ira Harrington:
The effects of tags on the evolution of honest signaling.
345-352
Evolutionary developmental robotics
- Stéphane Doncieux, Yaochu Jin, Jean-Baptiste Mouret:
Evo-devo-robo workshop program.
355-356
- Michal Joachimczak, Taras Kowaliw, René Doursat, Borys Wróbel:
Evolving morphologies and controllers for soft-bodied multicellular animats using gene regulatory networks and artificial embryogenesis.
357-360
- Michael E. Palmer, Andrew K. Chou:
An artificial visual cortex drives behavioral evolution in co-evolved predator and prey robots.
361-364
- Maja Rudinac, Boris Lenseigne, Pieter P. Jonker:
Empirical mode decomposition for saliency detection.
365-368
- Charles Ollion, Tony Pinville, Stéphane Doncieux:
Emergence of memory in neuroevolution: impact of selection pressures.
369-372
15th international workshop on learning classifier systems (ICWLS)
Understanding problems (GECCO-UP)
- Renato Tinós:
Analysing fitness landscape changes in evolutionary robots.
385-392
- Erik Pitzer, Andreas Beham, Michael Affenzeller:
Generic hardness estimation using fitness and parameter landscapes applied to robust taboo search and the quadratic assignment problem.
393-400
- Lee Spector:
Assessment of problem modality by differential performance of lexicase selection in genetic programming: a preliminary report.
401-408
- Deon Garrett:
A call for collaborative landscape analysis.
409-416
- Emma Tosch, Lee Spector:
Achieving COSMOS: a metric for determining when to give up and when to reach for the stars.
417-424
- Kent McClymont, David Walker, Max Dupenois:
The lay of the land: a brief survey of problem understanding.
425-432
Visualisation methods for genetic and evolutionary computation (VizGEC)
Evolutionary music
Symbolic regression and modeling workshop
Medical applications of genetic and evolutionary computation workshop (MedGEC)
- Arman Darvish, Shahryar Rahnamayan, Zaid S. Mohamad:
Interactive differential evolution for prostate ultrasound image thresholding.
501-508
- Stefano Cagnoni, Oscar Cordón, Pablo Mesejo, Youssef S. G. Nashed, Roberto Ugolotti:
First results and future developments of the MIBISOC Project in the IBISlab of the university of parma.
509-516
- Laurent Dumas, Pierre Boutouyrie, Erwan Bozec:
An optimal reconstruction of the human arterial tree from doppler echotracking measurements.
517-522
- Tim Rogalsky:
Bézier control parameterization for evolutionary optimization in disease models.
523-530
- Vitoantonio Bevilacqua, Giuseppe Filograno, Michele Fiorentino, Antonio E. Uva:
Early diagnosis of lung tumors by genetically optimized 3D-metaball malignancy metric.
531-538
- Maxine Tan, Rudi Deklerck, Bart Jansen, Jan Cornelis:
Analysis of a feature-deselective neuroevolution classifier (FD-NEAT) in a computer-aided lung nodule detection system for CT images.
539-546
Undergraduate workshop
- Omri Bernstein:
Flea market simulator: a market simulator for experiments on the computational evolution of trading strategies for economic agents.
549-554
- David J. Gagne:
GAMIV: a genetic algorithm for identifying variable-lengthmotifs in noncoding DNA.
555-558
- Amanda English, Holly Petruso, Chong Wang:
Grammatical evolution decision trees for trio designs.
559-562
- Jeffrey Thompson:
Trade-offs using GAMID for the inference of DNA motifs that are represented in only a subset of sequences of interest.
563-568
- Kwaku Yeboah-Antwi:
Evolving software applications using genetic programming - PushCalc: the evolved calculator.
569-572
- Yifeng Gao, Dan Lv:
Principal coordinate strategy: a novel adaptive control strategy for differential evolution.
573-578
- Timothy J. Kuehn:
Evolutionary fabrication: a system of autonomous invention.
579-584
Graduate workshop
- Miha Mlakar, Tea Tusar, Bogdan Filipic:
Discrete vs. continuous multiobjective optimization of continuous casting of steel.
587-590
- Maxim Buzdalov, Andrey Sokolov:
Evolving EFSMs solving a path-planning problem by genetic programming.
591-594
- Skylar Marvel, Alison A. Motsinger-Reif:
Grammatical evolution support vector machines for predicting human genetic disease association.
595-598
- Sen Han:
Batting order optimization by genetic algorithm.
599-602
- Daniil Chivilikhin, Vladimir Ulyantsev, Fedor Tsarev:
Test-based extended finite-state machines induction with evolutionary algorithms and ant colony optimization.
603-606
- François-Michel De Rainville:
Robotic swarm cooperation by co-adaptation.
607-610
- Kristopher Hoover, Rachel Marceau, Tyndall Harris, David M. Reif, Alison A. Motsinger-Reif:
A comparison of GE optimized neural networks and decision trees.
611-614
Late breaking abstracts workshop
- Du-Mim Yoon, Kyung-Joong Kim:
Comparison of scoring methods for interactive evolutionary computation based image retouching system.
617-618
- Claudio Comis Da Ronco, Ernesto Benini:
GeDEA-II: a simplex-crossover based multi objective evolutionary algorithm including the genetic diversity asobjective.
619-620
- Mikhail A. Semenov, Pierre Stratonowitch:
Application of evolutionary algorithms for model calibration.
621-622
- Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong:
Experiences on memetic computation for locating transition states in biochemical applications.
623-624
- Shreya Mukherjee, Margaret J. Eppstein:
Differential evolution of constants in genetic programming improves efficacy and bloat.
625-626
- Paul Beliveau, Gregory Hornby, Josh Bongard:
Interactive simulated robot construction and controller evolution.
627-628
- Shigeyoshi Tsutsui, Noriyuki Fujimoto:
On the effect of using multiple GPUs in solving QAPs with CUDA.
629-630
- Amit Benbassat, Moshe Sipper:
Evolving players that use selective game-tree search with genetic programming.
631-632
- Martin Pilát, Roman Neruda:
A surrogate multiobjective evolutionary strategy with local search and pre-selection.
633-634
- Susanne Zaglauer:
The evolutionary algorithm SAMOA with use of dynamic constraints.
635-636
- Susanne Zaglauer:
The evolutionary algorithm SAMOA with use of design of experiments.
637-638
- Michael Porta, Bryant A. Julstrom:
Evolving instances of unconstrained binary quadratic programming that challenge a tabu search heuristic.
639-640
- Hyun-Soo Park, Kyung-Joong Kim:
Automatic python programming using stack-based genetic programming.
641-642
- Cyril Fonlupt, Denis Robilliard:
Combining programs to counter code disruption.
643-644
- Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Martin Zaefferer:
SPOT applied to non-stochastic optimization problems: an experimental study.
645-646
- Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez:
Generalized compressed network search.
647-648
- Tsung-Yu Ho, Tian-Li Yu:
A linkage-learning niching in estimation of distribution algorithm.
649-650
- Amit Banerjee:
Density-based evolutionary outlier detection.
651-652
- Juan C. Quiroz, Amit Banerjee, Sushil J. Louis:
3-D modeling using collaborative evolution.
653-654
- David Iclanzan, Noémi Gaskó, D. Dumitrescu:
Evolving mixed nash equilibria for bimatrix games.
655-656
- Thomas Raway, David J. Schaffer, Kenneth J. Kurtz, Hiroki Sayama:
Evolving data sets to highlight the performance differences between machine learning classifiers.
657-658
- Shane Eric Celis, Josh Bongard:
Not all physics simulators can be wrong in the same way.
659-660
- Sahbi Ben Ismail, François Legras, Gilles Coppin:
A new interactive evolutionary algorithm for the vehicle routing problem.
661-668
Introductory tutorials
Advanced tutorials
Specialized techniques and applications tutorials
Keynote talks
Ant colony optimization and swarm intelligence
Artificial life/robotics/evolvable hardware
Bioinformatics, computational, systems and synthetic biology
- Alberto Castellini, Vincenzo Manca, Mauro Zucchelli, Mirko Busato:
A genetic approach for synthesizing metabolic models from time series.
1415-1416
- Henri C. Jimbo, Matthew J. Craven:
A dynamical model of cancer chemotherapy with disturbance.
1417-1418
- Kazuki Komiya, Nasimul Noman, Hitoshi Iba:
The search for robust topologies of oscillatory gene regulatory networks by evolutionary computation.
1419-1420
- Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini:
Estimating reaction constants in stochastic biological systems with a multi-swarm PSO running on GPUs.
1421-1422
- Leon Palafox, Hitoshi Iba:
Gene regulatory network reverse engineering using population based incremental learning and K-means.
1423-1424
- Jonathan Pascalie, Valérie Lobjois, Hervé Luga, Bernard Ducommun, Yves Duthen:
Checkpoint oriented cell-cycle simulation: critical role for age distribution initialization.
1425-1426
Digital entertainment technologies and arts
Estimation of distribution algorithms
Evolution strategies and evolutionary programming
- Rommel G. Regis:
Surrogate-assisted evolutionary programming for high dimensional constrained black-box optimization.
1431-1432
Evolutionary combinatorial optimization and metaheuristics
- Murillo Guimarães Carneiro, Gina Maira Barbosa de Oliveira:
Synchronous cellular automata scheduler with construction heuristic to static task scheduling in multiprocessors.
1433-1434
- Ahmed Kattan, Shaheen Fatima:
Evolving optimal agendas and strategies for negotiation in dynamic environments: a surrogate based approach.
1435-1436
- Nija Mani, Gursaran Srivastava, Arun Kumar Sinha, Ashish Mani:
An evaluation of cellular population model for improving quantum-inspired evolutionary algorithm.
1437-1438
- Eric Alfredo Rincón García, Roman Mora Gutiérrez, Pedro Lara Velázquez, Antonin Ponsich, Miguel Angel Gutiérrez-Ándrade, Sergio de-los-Cobos-Silva:
A discrete artificial bee colony algorithm for the multi-objective redistricting problem.
1439-1440
- Kamil Rocki, Reiji Suda:
An efficient GPU implementation of a multi-start TSP solver for large problem instances.
1441-1442
Evolutionary multiobjective optimization
- Md. Nasir, Soumyadip Sengupta, Swagatam Das, Sanjoy Das:
Configuration of sensors on a 3-D terrain: an approach based on evolutionary multi-objective optimization.
1443-1444
- Babak Amiri, Liaquat Hossain, John Crawford:
A multiobjective hybrid evolutionary algorithm for clustering in social networks.
1445-1446
- Luis Matoso, José Felipe Júnior, Adriano M. Pereira, Adriano Veloso, Wagner Meira Jr.:
New evolutionary approaches to high-dimensional data.
1447-1448
- Martha Johanna Sepúlveda, Wang Jiang Chau, Marius Strum, César Pedraza, Guy Gogniat, Ricardo Pires:
Multi-objective artificial immune algorithm for security-constrained multi-application NoC mapping.
1449-1450
- Martin Zaefferer, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Oliver Flasch:
Multi-criteria optimization for hard problems under limited budgets.
1451-1452
Generative and developmental systems
Genetic algorithms
- Mosab Bazargani, António dos Anjos, Fernando G. Lobo, Ali Mollahosseini, Hamid Shahbazkia:
Affine image registration transformation estimation using a real coded genetic algorithm with SBX.
1459-1460
- Keki M. Burjorjee:
Explaining adaptation in genetic algorithms with uniform crossover: the hyperclimbing hypothesis.
1461-1462
- Bryant A. Julstrom:
Clans and cooperation in the iterated prisoner's dilemma.
1463-1464
- Bryant A. Julstrom:
Naive and heuristic permutation-coded genetic algorithms for the quadratic knapsack problem.
1465-1466
- Tomasz Oliwa, Khaled Rasheed:
A surrogate-assisted and informed linkage aware GA.
1467-1468
- Tirtha R. Ranjeet, Philip Hingston, Chiou-Peng Lam, Martin Masek:
Evaluating coevolution on a multimodal problem.
1469-1470
- Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
Meaningful representation and recombination of variable length genomes.
1471-1472
- Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving NK-complexity for evolutionary solvers.
1473-1474
- Chun-Wei Tsai, Tzu-Yuan Lin, Ming-Chao Chiang, Chu-Sing Yang, Tzung-Pei Hong:
Continuous space pattern reduction for genetic clustering algorithm.
1475-1476
Genetic programming
- Alberto Bartoli, Giorgio Davanzo, Andrea De Lorenzo, Marco Mauri, Eric Medvet, Enrico Sorio:
Automatic generation of regular expressions from examples with genetic programming.
1477-1478
- João Correia, Penousal Machado, Juan Romero:
Improving haar cascade classifiers through the synthesis of new training examples.
1479-1480
- David Fagan, Erik Hemberg, Miguel Nicolau, Michael O'Neill, Seán McGarraghy:
Towards adaptive mutation in grammatical evolution.
1481-1482
- Wenlong Fu, Mark Johnston, Mengjie Zhang:
Genetic programming for edge detection based on figure of merit.
1483-1484
- Thomas Helmuth, Lee Spector:
Empirical investigation of size-based tournaments for node selection in genetic programming.
1485-1486
- Krzysztof Krawiec, Tomasz Pawlak:
Locally geometric semantic crossover.
1487-1488
- Leonardo Trujillo, Yuliana Martínez, Edgar Galván López, Pierrick Legrand:
A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming.
1489-1490
Genetics based machine learning
- Behzad Behzadan, Robert Elliott Smith:
An information-based approach towards neuro-evolution.
1491-1492
- Nugroho Fredivianus, Kais Kara, Hartmut Schmeck:
Stay real!: XCS with rule combining for real values.
1493-1494
- Francesco Gullo, A. K. M. Khaled Talukder, Sean Luke, Carlotta Domeniconi, Andrea Tagarelli:
Multiobjective optimization of co-clustering ensembles.
1495-1496
- Seyednaser Nourashrafeddin, Dirk Arnold, Evangelos E. Milios:
An evolutionary subspace clustering algorithm for high-dimensional data.
1497-1498
- Roberto Santana, Concha Bielza, Pedro Larrañaga:
Maximizing the number of polychronous groups in spiking networks.
1499-1500
- Nicolas Schneider:
Generic prognosis with evolutionary approaches.
1501-1502
- Quan Sun, Bernhard Pfahringer, Michael Mayo:
Full model selection in the space of data mining operators.
1503-1504
Integrative genetic and evolutionary computation
- Mark Coletti:
The effects of training set size and keeping rules on the emergent selection pressure of learnable evolution model.
1505-1506
- Khalid Jebari, Abdelaziz Bouroumi, Aziz Ettouhami:
Genetic fuzzy rules for DOPs.
1507-1508
- Yuan-long Li, Jun Zhang, Wei-neng Chen:
Differential evolution algorithm with PCA-based crossover.
1509-1510
- Jorge Maturana, Fernando Vergara, Cristian Rojas, Frédéric Saubion, Felipe Vargas, Daniel Vidal:
Improving clonal colony optimization to evolve robust solutions.
1511-1512
- Zhi-hui Zhan, Jun Zhang:
Enhance differential evolution with random walk.
1513-1514
- Tiantian Zhang, Giselle Borrero, Michael Georgiopoulos:
A winner-take-all methodology: finding the best evolutionary algorithm for the global optimization of functions.
1515-1516
Parallel evolutionary systems
Real world applications
- Aniesha Alford, Joshua Adams, Joseph Shelton, Kelvin S. Bryant, John Kelly, Gerry V. Dozier:
Analyzing the cross-generalization ability of a hybrid genetic & evolutionary application for multibiometric feature weighting and selection.
1521-1522
- Ana L. C. Bazzan:
Co-evolution of the dynamics in population games: the case of traffic flow assignment.
1523-1524
- Erik Hemberg, Lester T. W. Ho, Michael O'Neill, Holger Claussen:
Comparing the robustness of grammatical genetic programming solutions for femtocell algorithms.
1525-1526
- Jinhyun Kim, Byung-Ro Moon:
New malware detection system using metric-based method and hybrid genetic algorithm.
1527-1528
- Satoshi Ono, Shigeru Nakayama:
User-system cooperative evolution for Japanese anagram sentence generation.
1529-1530
- José Pinto, Nuno Horta:
Automated passive filter design using multi-objective genetic algorithms with variable parameters.
1531-1532
- Gene I. Sher:
Forex trading using geometry sensitive neural networks.
1533-1534
- Francisco J. Soltero, Diego J. Bodas-Sagi, Pablo Fernández-Blanco, José Ignacio Hidalgo, Francisco Fernández de Vega:
Optimization of technical indicators in real time with multiobjective evolutionary algorithms.
1535-1536
- Mihai Alexandru Suciu, Marcel Cremene, Florin-Claudiu Pop, Dumitru Dumitrescu:
Equitable solutions in QoS-aware service optimization.
1537-1538
- Oleksandr Yefimochkin, Rui Ferreira Neves, Nuno Horta:
An evolutionary approach to define investment strategies based on macroeconomic indicators and VIX data.
1539-1540
Search-based software engineering
Self-* search
- Ni Chen, Jun Zhang, Ou Liu:
Adaptive genetic algorithm based on density distribution of population.
1543-1544
- Eunice López-Camacho, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos:
The impact of the bin packing problem structure in hyper-heuristic performance.
1545-1546
- Narine Manukyan, Margaret J. Eppstein, Jeffrey D. Horbar, Kathleen A. Leahy, Michael J. Kenny, Shreya Mukherjee, Donna M. Rizzo:
Evolutionary mining for multivariate associations in large time-varying data sets: a healthcare network application.
1547-1548
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