Population-based metaheuristic algorithms have become popular in recent years with them
getting used in different fields such as business, medicine, and agriculture. The present …

Explaining to what extent the real power of genetic algorithms (GAs) lies in the ability of
crossover to recombine individuals into higher quality solutions is an important problem in …

This paper presents research on the use of multi-agent systems (MAS) in architectural
design with the goal of both improving and partially automating the design process as well …

We reinvestigate a fundamental question: How effective is crossover in genetic algorithms in
combining building blocks of good solutions? Although this has been discussed …

This book can be regarded as' Soft computing for physicists and chemists self-taught'. It
prepares the readers with a solid background of soft computing and how to adapt soft …

The Random Mutation Hill-Climbing algorithm is a direct search technique mostly used in
discrete domains. It repeats the process of randomly selecting a neighbour of a best-so-far …

This paper presents an effective evolutionary hybrid for solving the permutation flowshop
scheduling problem. Based on a memetic algorithm, the procedure uses a construction …

Structural Health Monitoring (SHM) and impact monitoring of composite structures have
become important research topics in the recent year. In this research, a non-destructive …

One-criterion parametric optimization by genetic algorithm (GA) of air protective meander
line turn cross-section is executed. For this task the quality function which provides …

The transition from prelife where self-replication does not occur, to life which exhibits self-
replication and evolution, has been a subject of interest for many decades. Membranes …