Evolution by Adapting Surrogates.
- Published in:
- Evolutionary Computation, 2013, v. 21, n. 2, p. 313, doi. 10.1162/EVCO_a_00079
- By:
- Publication type:
- Article
Works matching IS 10636560 AND DT 2013 AND VI 21 AND IP 2
Results: 6
1
2
Integrating Iterative Crossover Capability in Orthogonal Neighborhoods for Scheduling Resource-Constrained Projects.
- Published in:
- Evolutionary Computation, 2013, v. 21, n. 2, p. 341, doi. 10.1162/EVCO_a_00085
- By:
- Publication type:
- Article
3
No Free Lunch and Benchmarks.
- Published in:
- Evolutionary Computation, 2013, v. 21, n. 2, p. 293
- By:
- Publication type:
- Article
4
AsynchronousMaster-Slave Parallelization of Differential Evolution forMulti-Objective Optimization.
- Published in:
- Evolutionary Computation, 2013, v. 21, n. 2, p. 261, doi. 10.1162/EVCO_a_00076
- By:
- Publication type:
- Article
5
Borg: An Auto-AdaptiveMany-Objective Evolutionary Computing Framework.
- Published in:
- Evolutionary Computation, 2013, v. 21, n. 2, p. 231, doi. 10.1162/EVCO_a_00075
- By:
- Publication type:
- Article
6
A Novel Mating Approach for Genetic Algorithms.
- Published in:
- Evolutionary Computation, 2013, v. 21, n. 2, p. 197
- By:
- Publication type:
- Article