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ORCIDJohn A. W. McCall
- > Home > Persons > John A. W. McCall
Publications
- 2024
[j16]Jaume Bacardit
, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W. McCall, David J. Walker:
Introduction to the Special Issue on Explainable AI in Evolutionary Computation. ACM Trans. Evol. Learn. Optim. 4(1): 1:1-1:2 (2024)- 2023
- [c109]Martin Fyvie, John McCall, Lee A. Christie, Alexander E. I. Brownlee:
Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. GECCO Companion 2023: 1648-1656 - [c108]Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexandru-Ciprian Zavoianu, Alexander E. I. Brownlee, Russell Ainslie:
Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. SGAI Conf. 2023: 275-290 - 2022
- [i3]Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski:
An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR abs/2205.08438 (2022) - 2015
- [c63]Alexander E. I. Brownlee, John A. W. McCall, Lee A. Christie:
Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems. CEC 2015: 2066-2073 - [c60]John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee:
Generating Easy and Hard Problems using the Proximate Optimality Principle. GECCO (Companion) 2015: 767-768 - 2013
- [j4]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. Syst. Sci. 44(11): 2039-2056 (2013) - [j3]Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang:
Fitness Modeling With Markov Networks. IEEE Trans. Evol. Comput. 17(6): 862-879 (2013) - 2012
- [c45]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 - 2010
- [c34]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 - 2009
- [c28]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 - [c27]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
- [c25]Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck Forsyth Brown:
Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation 2008: 2621-2628 - [c24]Yanghui Wu, John A. W. McCall, Paul Michael 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 - [c21]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 - [c20]Alexander E. I. Brownlee, Yanghui Wu, John A. W. McCall, Paul Michael 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 - 2007
- [c15]Alexander E. I. Brownlee, John A. W. McCall, Deryck Forsyth Brown:
Solving the MAXSAT problem using a multivariate EDA based on Markov networks. GECCO (Companion) 2007: 2423-2428 - 2005
- [c12]Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall:
Statistical optimisation and tuning of GA factors. Congress on Evolutionary Computation 2005: 758-764
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