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 …

In the traditional optimization algorithms, constraints are satisfied within a tolerance defined
by a crisp number. In actual engineering practice, constraint evaluation involves many …

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

Over the past two decades, machine learning has been gaining significant attention for
solving complex engineering problems. Genetic programing (GP) is an advanced framework …

Even though several genetic algorithm (GA)-based optimization algorithms have been
successfully applied to complex optimization problems in various engineering fields, such …

Genetic programming is a relatively new method of evolutionary computing with few
published applications in civil engineering. This paper both describes and demonstrates …

With increasing competition, the engineering industry is in need of optimization of designs
that would lead to minimum cost or weight. Recent developments in Genetic Algorithms …

Shape design of a structure plays a significant part in deciding its least weight. In this paper,
a fuzzy controlled genetic-based search technique for structural shape optimization is …

In engineering, optimization applications are commonly used to solve various problems. As
widely known, solution of an engineering problem does not have a unique result; moreover …

In this paper, the combination of a genetic algorithm and fuzzy logic is used for different
types of optimization problems (sizing, topology and geometry) in steel structures. The …