MOTA: A Many-Objective Tuning Algorithm Specialized for Tuning under Multiple Objective Function Evaluation Budgets.
- Published in:
- Evolutionary Computation, 2017, v. 25, n. 1, p. 113, doi. 10.1162/EVCO_a_00163
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- Publication type:
- Article
Works matching IS 10636560 AND DT 2017 AND VI 25 AND IP 1
Results: 5
1
2
An Effective Evolutionary Hybrid for Solving the Permutation Flowshop Scheduling Problem.
- Published in:
- Evolutionary Computation, 2017, v. 25, n. 1, p. 87, doi. 10.1162/EVCO_a_00162
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- Publication type:
- Article
3
Evolutionary Visual Exploration: Evaluation of an IEC Framework for Guided Visual Search.
- Published in:
- Evolutionary Computation, 2017, v. 25, n. 1, p. 55, doi. 10.1162/EVCO_a_00161
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- Publication type:
- Article
4
LM-CMA: An Alternative to L-BFGS for Large-Scale Black Box Optimization.
- Published in:
- Evolutionary Computation, 2017, v. 25, n. 1, p. 143, doi. 10.1162/EVCO_a_00168
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- Publication type:
- Article
5
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review.
- Published in:
- Evolutionary Computation, 2017, v. 25, n. 1, p. 1, doi. 10.1162/EVCO_r_00180
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- Publication type:
- Article