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John A. W. McCall
2010 – today
- 2013
[j2]Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie, Stefan Stulajter: An application of a GA with Markov network surrogate to feature selection. Int. J. Systems Science 44(11): 2039-2056 (2013)- 2012
- [j1]Olivier Regnier-Coudert, John A. W. McCall, Robert Lothian, Thomas Lam, Sam McClinton, James N'Dow: Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers. Artificial Intelligence in Medicine 55(1): 25-35 (2012)
- [c39]Olivier Regnier-Coudert, John A. W. McCall: An Island Model Genetic Algorithm for Bayesian network structure learning. IEEE Congress on Evolutionary Computation 2012: 1-8
- [c38]Yanghui Wu, John A. W. McCall, David Corne, Olivier Regnier-Coudert: Landscape analysis for hyperheuristic Bayesian Network structure learning on unseen problems. IEEE Congress on Evolutionary Computation 2012: 1-8
- [c37]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall: D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. EvoCOP 2012: 75-86
- [c36]Alexander E. I. Brownlee, John A. W. McCall, Martin Pelikan: Influence of selection on structure learning in markov network EDAs: an empirical study. GECCO 2012: 249-256
- [c35]Olivier Regnier-Coudert, John A. W. McCall: Competing Mutating Agents for Bayesian Network Structure Learning. PPSN (1) 2012: 216-225
- 2011
- [c34]Yanghui Wu, John A. W. McCall, David Corne: Fitness landscape analysis of Bayesian network structure learning. IEEE Congress on Evolutionary Computation 2011: 981-988
- [c33]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall: Clustering based leaders' selection in multi-objective evolutionary algorithms. GECCO (Companion) 2011: 95-96
- [c32]Olivier Regnier-Coudert, John A. W. McCall: Privacy-preserving approach to bayesian network structure learning from distributed data. GECCO (Companion) 2011: 815-816
- [c31]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall: Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. IDEAL 2011: 100-107
- [c30]Thierry Mamer, Siddhartha Shakya, John A. W. McCall, Gilbert Owusu: Intelligent Tuning of a Dynamic Business Simulation Environment. SGAI Conf. 2011: 355-368
- 2010
- [c29]Robert Barbour, David W. Corne, John A. W. McCall: Accelerated optimisation of chemotherapy dose schedules using fitness inheritance. IEEE Congress on Evolutionary Computation 2010: 1-8
- [c28]Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie: Using a Markov network as a surrogate fitness function in a genetic algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8
- [c27]François A. Fournier, John A. W. McCall, Andrei Petrovski, Peter J. Barclay: Evolved Bayesian Network models of rig operations in the gulf of Mexico. IEEE Congress on Evolutionary Computation 2010: 1-7
- [c26]Jean-Claude Golovine, John A. W. McCall, Patrik O'Brian Holt: Evolving interface designs to minimize user task times as simulated in a cognitive architecture. IEEE Congress on Evolutionary Computation 2010: 1-7
- [c25]Yanghui Wu, John A. W. McCall, David W. Corne: Two novel Ant Colony Optimization approaches for Bayesian network structure learning. IEEE Congress on Evolutionary Computation 2010: 1-7
- [c24]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall: A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. PPSN (2) 2010: 1-10
- [c23]Yanghui Wu, John A. W. McCall, David Corne: Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions. PPSN (1) 2010: 424-433
2000 – 2009
- 2009
- [c22]Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang: Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. IEEE Congress on Evolutionary Computation 2009: 447-454
- [c21]Siddhartha Shakya, Alexander E. I. Brownlee, John A. W. McCall, François A. Fournier, Gilbert Owusu: A fully multivariate DEUM algorithm. IEEE Congress on Evolutionary Computation 2009: 479-486
- 2008
- [c20]Paul M. Godley, Julie Cowie, David E. Cairns, John A. W. McCall, C. Howie: Optimisation of cancer chemotherapy schedules using directed intervention crossover approaches. IEEE Congress on Evolutionary Computation 2008: 2532-2537
- [c19]Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck F. Brown: Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation 2008: 2621-2628
- [c18]Yanghui Wu, John A. W. McCall, Paul M. Godley, Alexander E. I. Brownlee, David E. Cairns, Julie Cowie: Bio-control in mushroom farming using a Markov network EDA. IEEE Congress on Evolutionary Computation 2008: 2991-2996
- [c17]Paul M. Godley, David E. Cairns, Julie Cowie, John A. W. McCall: Fitness directed intervention crossover approaches applied to bio-scheduling problems. CIBCB 2008: 120-127
- [c16]Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski: An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO 2008: 463-464
- [c15]Alexander E. I. Brownlee, Yanghui Wu, John A. W. McCall, Paul M. Godley, David E. Cairns, Julie Cowie: Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. GECCO 2008: 465-466
- [c14]Paul M. Godley, David E. Cairns, Julie Cowie, Kevin Swingler, John A. W. McCall: The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. GECCO 2008: 1105-1106
- [c13]Thierry Mamer, Christopher H. Bryant, John A. W. McCall: L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning. ILP 2008: 176-191
- 2007
- [c12]Alexander E. I. Brownlee, John A. W. McCall, Deryck F. Brown: Solving the MAXSAT problem using a multivariate EDA based on Markov networks. GECCO (Companion) 2007: 2423-2428
- 2006
- [c11]Andrei Petrovski, Siddhartha Shakya, John A. W. McCall: Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. GECCO 2006: 413-418
- 2005
- [c10]Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall: Statistical optimisation and tuning of GA factors. Congress on Evolutionary Computation 2005: 758-764
- [c9]Siddhartha Shakya, John A. W. McCall, Deryck F. Brown: Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm. Congress on Evolutionary Computation 2005: 2576-2583
- [c8]Andrei Petrovski, John A. W. McCall: Smart problem solving environment for medical decision support. GECCO Workshops 2005: 152-158
- [c7]Siddhartha Shakya, John A. W. McCall, Deryck F. Brown: Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis. GECCO 2005: 727-734
- 2004
- [c6]Andrei Petrovski, Bhavani Sudha, John A. W. McCall: Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. PPSN 2004: 633-641
- 2001
- [c5]Deryck F. Brown, A. Beatriz Garmendia-Doval, John A. W. McCall: Markov Random Field Modelling of Royal Road Genetic Algorithms. Artificial Evolution 2001: 65-76
- [c4]Andrei Petrovski, John A. W. McCall: Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms. EMO 2001: 531-545
- 2000
- [c3]Deryck F. Brown, S. J. Cuddy, A. Beatriz Garmendia-Doval, John A. W. McCall: The Prediction of Permeability in Oil-Bearing Strata using Genetic Algorithms. Artificial Intelligence and Soft Computing 2000: 53-57
- [c2]Deryck F. Brown, A. Beatriz Garmendia-Doval, John A. W. McCall: A functional framework for the implementation of genetic algorithms: Comparing Haskell and Standard ML. Scottish Functional Programming Workshop 2000: 27-38
1990 – 1999
- 1999
- [c1]Stewart Thomson, John A. W. McCall: Towards a Visual Environment for Enterprise Systems. ICEIS 1999: 774
Coauthor Index
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last updated on 2013-06-19 21:59 CEST by the dblp team