Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
An adaptive crossover distribution mechanism for genetic algorithms
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
NP-Hardness of Some Linear Control Design Problems
SIAM Journal on Control and Optimization
Differential evolution based fuzzy logic controller for nonlinear process control
Fundamenta Informaticae - Special issue on soft computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Evolutionary Algorithms in Engineering Applications
Evolutionary Algorithms in Engineering Applications
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms
ENC '03 Proceedings of the 4th Mexican International Conference on Computer Science
Investigations in meta-GAs: panaceas or pipe dreams?
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Constraint-Based Local Search
Evolutionary algorithms in multiply-specified engineering. The MOEAs and WCES strategies
Advanced Engineering Informatics
EURASIP Journal on Applied Signal Processing
Pareto multi-criteria decision making
Advanced Engineering Informatics
Conflict, harmony, and independence: relationships in evolutionary multi-criterion optimisation
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Many-Objective optimization: an engineering design perspective
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
| Hi-index | 0.00 |
We present a novel meta-level heuristic algorithm for multi-criteria search. It focuses on dynamically adapting the optimization criteria through the set of active objectives instead of using the evolutionary strategy (ES) parameters as other meta-level approaches do. The meta-level ES dynamically searches for the subset of objectives that achieves the best global performance. It assumes that the active subset can represent the real structure of the trade-off surface and consider all objectives at the same time as a pure multi-objective evolutionary approach (MOEA) would do. We have successfully applied this heuristic to improve the efficiency of tracking filters design, a real-world problem requiring effective and fast optimization techniques. Our approach yields competitive results and drastically reduces the computational cost. The results show an important advantage in efficiency with respect to previous conventional approaches for applying evolutionary algorithms (EA) to the same design problem. The proposed technique can be applied to real-world problems with a high number of active dependent objectives, a frequent occurrence in engineering design.