This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints in global optimization problems. A review of...
— This paper investigates the role of genotypic search space dimensionality on the behaviour and characteristics of a computational model of embryogeny. By varying genome length,...
Abstract. An evolutionary system is presented which employs an embryogeny model to evolve phenotypes in the form of layout of cells in specific patterns and shapes. It is shown th...
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...