Add to ORKGGrill B, Ekelhart A, Kiesling E, Stummer C, Strauss C. Multi-objective evolutionary optimization of computation-intensive simulations: The case of security control selection. In: Proceedings of the 11th Metaheuristics International Conference (MIC). 2015: 1-3
Many complex aeronautical design problems can be formulated with efficient multi-objective evolution...
Properly configuring Evolutionary Algorithms (EAs) is a challenging task made difficult by many diff...
This book covers the most recent advances in the field of evolutionary multiobjective optimization. ...
Multicriterion optimization refers to problems with two or more objectives (normally in conflict wit...
Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-ob...
Multi-objective optimization problems deal with multiple conflicting objectives. In principle, they ...
The Evolutionary Computation (EC) community over the last 30 years has spent a lot of effort to desi...
Multi-objective simulation optimisation, evolutionary algorithms, hybrid algorithms Abstract – The ...
During the past few decades, many global optimisation and multi-objective evolutionary algorithms ...
Kiesling E, Ekelhart A, Grill B, Strauss C, Stummer C. Simulation-based optimization of information ...
The paper presents a taxonomic analysis of existing hybrid multi-objective evolutionary algorithms a...
In the design of safety critical systems, engineers have to find trade-offs between different safety...
This book comprises nine selected works on numerical and computational methods for solving multiobje...
Genetic algorithms are often well suited for multiobjective optimization problems. In this work, mul...
Many complex aeronautical design problems can be formulated with efficient multi-objective evolution...
Many complex aeronautical design problems can be formulated with efficient multi-objective evolution...
Properly configuring Evolutionary Algorithms (EAs) is a challenging task made difficult by many diff...
This book covers the most recent advances in the field of evolutionary multiobjective optimization. ...
Multicriterion optimization refers to problems with two or more objectives (normally in conflict wit...
Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-ob...
Multi-objective optimization problems deal with multiple conflicting objectives. In principle, they ...
The Evolutionary Computation (EC) community over the last 30 years has spent a lot of effort to desi...
Multi-objective simulation optimisation, evolutionary algorithms, hybrid algorithms Abstract – The ...
During the past few decades, many global optimisation and multi-objective evolutionary algorithms ...
Kiesling E, Ekelhart A, Grill B, Strauss C, Stummer C. Simulation-based optimization of information ...
The paper presents a taxonomic analysis of existing hybrid multi-objective evolutionary algorithms a...
In the design of safety critical systems, engineers have to find trade-offs between different safety...
This book comprises nine selected works on numerical and computational methods for solving multiobje...
Genetic algorithms are often well suited for multiobjective optimization problems. In this work, mul...
Many complex aeronautical design problems can be formulated with efficient multi-objective evolution...
Many complex aeronautical design problems can be formulated with efficient multi-objective evolution...
Properly configuring Evolutionary Algorithms (EAs) is a challenging task made difficult by many diff...
This book covers the most recent advances in the field of evolutionary multiobjective optimization. ...