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Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431).

, , , and . Dagstuhl Reports, 9 (10): 61-94 (2019)

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A review of evolutionary artificial neural networks. International Journal of Intelligent Systems, (1993)Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization., , and . CIBCB, page 9-16. IEEE, (2005)On the formation of degree and cluster-degree correlations in scale-free networks, , , and . Physica A: Statistical Mechanics and its Applications, (Aug 1, 2005)A Review of Evolutionary Artificial Neural Networks. International Journal of Intelligent Systems, (in press)Towards Designing Artificial Neural Networks by Evolution, and . Applied Mathematics and Computation, 91 (1): 83--90 (1996)Constraint Handling in NSGA-II for Solving Optimal Testing Resource Allocation Problems., , , , , and . IEEE Trans. Reliability, 66 (4): 1193-1212 (2017)Ensemble Structure of Evolutionary Artificial Neural Networks., and . International Conference on Evolutionary Computation, page 659-664. IEEE, (1996)Automatic Modularization by Speciation., and . International Conference on Evolutionary Computation, page 88-93. IEEE, (1996)What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation., and . CoRR, (2017)Fast Evolution Strategies., and . Evolutionary Programming, volume 1213 of Lecture Notes in Computer Science, page 151-162. Springer, (1997)