A new approach to optimization design concerning the configurations of structures using
genetic algorithm (GA) with a tournament selection strategy has been proposed. The …

Crossover is one of the three basic operators in any genetic algorithm (GA). Several
crossover techniques have been proposed and their relative merits are currently under …

The performance of genetic algorithms (GA) is affected by various factors such as
coefficients and constants, genetic operators, parameters and some strategies. Member …

A dynamic parameter encoding method was previously presented by Schraudolph and
Belew [J Mach Learn 9 (1992) 9] for solving optimizing problems using discrete zooming …

Abstract The efficiency of Simple Genetic Algorithm (SGA) can be improved by some
strategies. They are elitest strategy, multi‐point crossover, identification of passive design …

The objective of this paper is to investigate the efficiency of various evolutionary algorithms
(EA), such as genetic algorithms and evolution strategies, when applied to large-scale …

The initial motivation for the development of algorithms inspired by biological principles of
evolution was the design and implementation of robust adaptive systems. Among the most …

A fuzzy logic integrated genetic programming (GP) based methodology is proposed to
increase the performance of the GP based approach for structural optimization and design …

Traditionally, the open-domain optimum design of truss structures is solved using
conceptual designs which are often based on their ground structures. However, the ground …

Evolutionary structural optimization (ESO) is based on a simple idea that an optimal
structure (with maximum stiffness but minimum weight) can be achieved by gradually …