2. LION 2007:
Trento,
Italy
Vittorio Maniezzo, Roberto Battiti, Jean-Paul Watson (Eds.):
Learning and Intelligent Optimization, Second International Conference, LION 2007, Trento, Italy, December 8-12, 2007. Selected Papers.
Lecture Notes in Computer Science 5313 Springer 2008, ISBN 978-3-540-92694-8
- Sameh Al-Shihabi, Peter Merz, Steffen Wolf:
Nested Partitioning for the Minimum Energy Broadcast Problem.
1-11
- Enrico Bartolini, Vittorio Maniezzo, Aristide Mingozzi:
An Adaptive Memory-Based Approach Based on Partial Enumeration.
12-24
- Roberto Battiti, Mauro Brunato, Paolo Campigotto:
Learning While Optimizing an Unknown Fitness Surface.
25-40
- Mauro Brunato, Holger H. Hoos, Roberto Battiti:
On Effectively Finding Maximal Quasi-cliques in Graphs.
41-55
- Olivier Caelen, Gianluca Bontempi:
Improving the Exploration Strategy in Bandit Algorithms.
56-68
- Hadrien Cambazard, Narendra Jussien:
Learning from the Past to Dynamically Improve Search: A Case Study on the MOSP Problem.
69-80
- Yann Cooren, Amir Nakib, Patrick Siarry:
Image Thresholding Using TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm.
81-94
- Teodor Gabriel Crainic, Michel Toulouse:
Explicit and Emergent Cooperation Schemes for Search Algorithms.
95-109
- Deon Garrett, Dipankar Dasgupta:
Multiobjective Landscape Analysis and the Generalized Assignment Problem.
110-124
- William E. Hart, Jonathan W. Berry, Erik G. Boman, Cynthia A. Phillips, Lee Ann Riesen, Jean-Paul Watson:
Limited-Memory Techniques for Sensor Placement in Water Distribution Networks.
125-137
- Yannis Marinakis, Magdalene Marinaki, Nikolaos F. Matsatsinis:
A Hybrid Clustering Algorithm Based on Honey Bees Mating Optimization and Greedy Randomized Adaptive Search Procedure.
138-152
- Frank Neumann, Carsten Witt:
Ant Colony Optimization and the Minimum Spanning Tree Problem.
153-166
- Takao Ono, Mutsunori Yagiura, Tomio Hirata:
A Vector Assignment Approach for the Graph Coloring Problem.
167-176
- Lale Özbakir, Adil Baykasoglu, Sinem Kulluk:
Rule Extraction from Neural Networks Via Ant Colony Algorithm for Data Mining Applications.
177-191
- Steven David Prestwich:
Tuning Local Search by Average-Reward Reinforcement Learning.
192-205
- Stephen Remde, Peter I. Cowling, Keshav P. Dahal, Nic Colledge:
Evolution of Fitness Functions to Improve Heuristic Performance.
206-219
- Samuel Rota Bulò, Marcello Pelillo:
A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs.
220-233
- Celso Tchao, Simone L. Martins:
Hybrid Heuristics for Multi-mode Resource-Constrained Project Scheduling.
234-242
Copyright © Fri Nov 27 19:43:03 2009
by Michael Ley (ley@uni-trier.de)