Works matching IS 10636560 AND DT 2020 AND VI 28 AND IP 2
Results: 6
Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms.
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- Evolutionary Computation, 2020, v. 28, n. 2, p. 195, doi. 10.1162/evco_a_00263
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- Article
Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples.
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- Evolutionary Computation, 2020, v. 28, n. 2, p. 317, doi. 10.1162/evco_a_00257
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- Article
A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem.
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- Evolutionary Computation, 2020, v. 28, n. 2, p. 289, doi. 10.1162/evco_a_00256
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- Article
Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets.
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- Evolutionary Computation, 2020, v. 28, n. 2, p. 165, doi. 10.1162/evco_a_00266
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- Article
A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling between Local Optima.
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- Evolutionary Computation, 2020, v. 28, n. 2, p. 255, doi. 10.1162/evco_a_00254
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- Article
What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation.
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- Evolutionary Computation, 2020, v. 28, n. 2, p. 227, doi. 10.1162/evco_a_00269
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- Article