scholarly journals ITSO: a novel inverse transform sampling-based optimization algorithm for stochastic search

Author(s):  
Nikolaos P. Bakas ◽  
Vagelis Plevris ◽  
Andreas Langousis ◽  
Savvas A. Chatzichristofis
2013 ◽  
Vol 18 (3) ◽  
pp. 293-313 ◽  
Author(s):  
Algirdas Lančinskas ◽  
Pilar Martinez Ortigosa ◽  
Julius Žilinskas

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.


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