Multiobjective evolutionary algorithm based on decomposition (MOEA/D) has attracted a lot
of attention since it can handle multiobjective problems (MOP) with a complicated Pareto …

This is a new semi-distributed differential evolution algorithm with best determination
method and species evolution (DESBS). This algorithm is based on fact-evolution of species …

Differential Evolution (DE) has been regarded as one of the excellent optimization algorithm
in the science, computing and engineering field since its introduction by Storm and Price in …

A new differential evolutionary algorithm with species and best vector selection (DESBS)
has been proposed. It uses best determination method (BDM) to determine the best …

Complicated mathematical operations are in the heart of any signal processing application
and therefore minimization of computational time is one of the major areas of concern at …

This paper presents an efficient way of designing Linear Phase Finite Impulse Response
(FIR) Filter using hybrid Differential Evolution (DE) and Biogeography based optimization …

Multiobjective evolutionary algorithm based on decomposition (MOEA/D) has attracted a lot
of attention since it can handle multiobjective problems (MOP) with a complicated Pareto …

A New rotation mutation strategy in differential evolution is proposed. It uses the local
information to rotate the trial vector in search space. It provides the exploration to search …

There is a remarkable performance of differential evolution (DE) algorithm on continuous
space problem. Mutation plays a very vital role in success of DE but in traditional DE all the …

Design of power efficient data transmission filters has developed enormous interest among
researchers of late. A number of hardware friendly digital filters have therefore found their …