scholarly journals Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems

2002 ◽  
Vol 6 (3) ◽  
pp. 137-146 ◽  
Author(s):  
A.M Brintrup
Keyword(s):  
Genetic Algorithms ◽  
Optimization Problems ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Interactive Genetic Algorithms

scholarly journals Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems

1999 ◽  
Vol 7 (3) ◽  
pp. 205-230 ◽  
Author(s):  
Kalyanmoy Deb
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Optimization Problems ◽  
Test Problems ◽  
Pareto Optimal ◽  
Multi Objective Optimization ◽  
Pareto Optimal Front ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Single Objective

In this paper, we study the problem features that may cause a multi-objective genetic algorithm (GA) difficulty in converging to the true Pareto-optimal front. Identification of such features helps us develop difficult test problems for multi-objective optimization. Multi-objective test problems are constructed from single-objective optimization problems, thereby allowing known difficult features of single-objective problems (such as multi-modality, isolation, or deception) to be directly transferred to the corresponding multi-objective problem. In addition, test problems having features specific to multi-objective optimization are also constructed. More importantly, these difficult test problems will enable researchers to test their algorithms for specific aspects of multi-objective optimization.

Injecting domain knowledge in multi-objective optimization problems: A semantic approach

2021 ◽  
pp. 103546
Author(s):  
Cristóbal Barba-González ◽  
Antonio J. Nebro ◽  
José García-Nieto ◽  
María del Mar Roldán-García ◽  
Ismael Navas-Delgado ◽  
...  
Keyword(s):  
Domain Knowledge ◽  
Optimization Problems ◽  
Multi Objective Optimization ◽  
Semantic Approach ◽  
Multi Objective
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