Title :
MO-ABC/DE - Multiobjective Artificial Bee Colony with Differential Evolution for unconstrained multiobjective optimization
Author :
Rubio-Largo, Alvaro ; Gonzalez-Alvarez, David L. ; Vega-Rodriguez, Miguel A. ; Gomez-Pulido, Juan A. ; Sanchez-Perez, Juan M.
Author_Institution :
Dept. Technol. of Comput. & Commun., Univ. of Extremadura, Caceres, Spain
Abstract :
Multiobjective optimization (MO) is attracting much attention of researchers in the last years. This is because most of the currently addressed optimization problems need to optimize multiple conflicting objective functions simultaneously. In this work, we propose a new algorithm called Multiobjective Artificial Bee Colony with Differential Evolution (MO-ABC/DE) for solving a set of unconstrained multiobjective optimization problems. The MO-ABC/DE algorithm is a new hybrid approach that combines the collective intelligence of the honey bee swarms (Artificial Bee Colony - ABC) with the properties of the Differential Evolution (DE). To analyse the performance of our metaheuristics we solve ten unconstrained multiobjective problems defined for the CEC 2009 Special Session on “Performance Assessment of Constrained / Bound Constrained Multiobjective Optimization Algorithms”. These test problems optimize two or three objective functions and present different properties of separability, modality, and geometry in their Pareto fronts. As we will see, the MO-ABC/DE algorithm works well on most test problems, proving to be an important tool to solve multiobjective unconstrained optimization problems.
Keywords :
Pareto optimisation; MO-ABC/DE; Pareto fronts; differential evolution; multiobjective artificial bee colony; unconstrained multiobjective optimization; Artificial Bee Colony; Differential Evolution; MO-ABC/DE; multiobjective optimization;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4673-5205-5
Electronic_ISBN :
978-1-4673-5210-9
DOI :
10.1109/CINTI.2012.6496752