| Title |
Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm / |
| Authors |
Lančinskas, Algirdas ; Ortigosa, Pilar Martinez ; Žilinskas, Julius |
| DOI |
10.15388/NA.18.3.14011 |
| Full Text |
|
| Is Part of |
Nonlinear analysis: modelling and control.. Vilnius : Vilniaus universiteto leidykla. 2013, vol. 18, no. 3, p. 293-313.. ISSN 1392-5113. eISSN 2335-8963 |
| Keywords [eng] |
multi-objective optimization ; Pareto set ; non-dominated sorting genetic algorithm ; single agent stochastic search |
| Abstract [eng] |
A hybrid multi-objective optimization algorithm based on genetic algorithm and stochastic local search is developed and evaluated. The single agent stochastic search local optimization algorithm has been modified in order to be suitable for multi-objective optimization where the local optimization is performed towards non-dominated points. The presented algorithm has been experimentally investigated by solving a set of well known test problems, and evaluated according to several metrics for measuring the performance of algorithms for multi-objective optimization. Results of the experimental investigation are presented and discussed. |
| Published |
Vilnius : Vilniaus universiteto leidykla |
| Type |
Journal article |
| Language |
English |
| Publication date |
2013 |
| CC license |
|
