Adapting the artificial bee colony metaheuristic to solve multi-objective problems

Saima Dhouib, Souhail Dhouib and Habib Chabchoub

International Journal of Manufacturing Technology and Management, 2015, vol. 29, issue 5/6, 366-380

Abstract: In this paper, an artificial bee colony (ABC) metaheuristic is adapted to find Pareto optimal set solutions for goal programming problems. The proposed algorithm is named weighted goal programming artificial bee colony (WGP-ABC). This WGP-ABC is personalised to support the MOO by means of a weighted sum formulation for the objective function: solving several scalarisations of the objective function according to a weight vector with non-negative components. The efficiency of the proposed approach is demonstrated by nonlinear engineering design problems. In all problems, multiple solutions to the goal programming problem are found in short computational time using very few user-defined parameters.

Keywords: goal programming; multi-objective optimisation; continuous work space; metaheuristics; artificial bee colony; ABC; nonlinear design; engineering design. (search for similar items in EconPapers)
Date: 2015
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