Evolutionary optimization provides robust and efficient techniques for solving complex real-world problems. The aim of this paper is to present an enhanced evolutionary algorithm for solving constraint nonlinear programming problems NLPPs, which based on concept of co-evolution a...
Open access
Research Article10.9734/BJAST/2015/17059
In this paper we present a new optimization algorithm for Economic environmental dispatch EED of power systems. The purpose of EED problem is to compute the optimal generation for individual units of the power system by minimizing the fuel cost and emission levels simultaneously,...
Open access
Research Article10.9734/BJMCS/2014/11526
This paper presents genetic algorithm based on K-means clustering technique for solving multi-objective resource allocation problem (MORAP). By using k-means clustering technique, population can be divided into a specific number of subpopulations with dynamic size. In this way, d...
Open access
Research Article10.9734/BJAST/2015/16570
In this paper we present a hybrid optimization algorithm for solving constrained nonlinear optimization problems. The hybrid algorithm is a combination between one of the intelligence techniques (genetic algorithm) and chaos theory to enhance the performance and to reach the opti...
Open access
Research Article10.9734/BJMCS/2015/16193