This paper talks about genetic algorithm (GA) with a stress-based crossover operator (SX) to multi-constrained structural topology optimization.

This paper talks about genetic algorithm (GA) with a stress- based crossover operator (SX) to multi-constrained struc- tural topology optimization.

This paper talks about genetic algorithm (GA) with a stress-based crossover operator (SX) to multi-constrained structural topology optimization.

This paper talks about genetic algorithm (GA) with a stress- based crossover operator (SX) to multi-constrained struc- tural topology optimization.

Stress-based crossover operator for structure topology optimization using small population size and variable length chromosome.

Stress-based crossover operator for structure topology optimization using small population size and variable length chromosome. C. Li, T. Hiroyasu, and M ...

Variable chromosome length genetic algorithms for structural topology design optimization 45th AIAA 2004-1911 Structures, Structural Dynamics & Materials.

Abstract. In this paper, we propose a stress-based crossover (SX) operator to solve the checkerboard- like material distributation and disconnected topology ...

This paper presents a genetic algorithm (GA) with a stress-based crossover (SX) operator to obtain a solution without checkerboard patterns for ...

This article introduces the concept of variable chromosome lengths in the context of an adaptive genetic algorithm (GA). This concept is applied to ...