Sciweavers

ISICA
2007
Springer
13 years 11 months ago
On the Performance of Metamodel Assisted MOEA/D
Abstract. MOEA/D is a novel and successful Multi-Objective Evolutionary Algorithms(MOEA) which utilizes the idea of problem decomposition to tackle the complexity from multiple obj...
Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao ...
CEC
2008
IEEE
13 years 11 months ago
A comparative study of the effect of parameter scalability in multi-objective metaheuristics
Abstract—Some real-world optimization problems have hundreds or even thousands of decision variables. However, the effect that the scalability of parameters has in modern multiob...
Juan José Durillo, Antonio J. Nebro, Carlos...
EVOW
2010
Springer
13 years 11 months ago
A Directed Mutation Operator for Real Coded Genetic Algorithms
Abstract. Developing directed mutation methods has been an interesting research topic to improve the performance of genetic algorithms (GAs) for function optimization. This paper i...
Imtiaz Korejo, Shengxiang Yang, Changhe Li
CEC
2009
IEEE
13 years 11 months ago
Constructing test problems for bilevel evolutionary multi-objective optimization
— Many real-world problems demand a feasible solution to satisfy physical equilibrium, stability, or certain properties which require an additional lower level optimization probl...
Kalyanmoy Deb, Ankur Sinha