Reliability-based design optimization (RBDO) algorithm is to minimize the objective under
the probabilistic factors. While gradient-based and classical evolutionary RBDO algorithms …

This study focuses on the modification of Tree-Seed Algorithm (TSA) to solve constrained
optimization problem. TSA, which is one of the population-based iterative search algorithms …

This research article proposes a hybrid evolutionary framework based on hybridization of
genetic algorithm (GA) and differential evolution (DE) for solving a nonlinear, high …

A novel multiobjective technique is proposed for solving constrained optimization problems
(COPs) in this paper. The method highlights three different perspectives: 1) a COP is …

This work presents a constraint handling technique (CHT) for the solution of real-world
engineering optimization problems by evolutionary algorithms. Referred to as the Multiple …

In constrained optimization problems (COPs), a crucial issue is that most constraint-handling
evolutionary algorithms (EAs) approach the optimum either mainly from feasible regions or …

This paper develops a novel algorithm to solve real-world constrained optimization
problems, which hybridizes multiobjective optimization techniques with an ϵ-constrained …

The gravitational search algorithm (GSA) is widely used for solving optimization problems
because it performs in a superior manner as compared to various competing evolutionary …

This paper details the application of the finite element model, Bayesian regularized neural
network, and genetic algorithm for metallic thermal protection system parameter …

This work presents an enhanced technique to handle constraints in optimization problems
solved by evolutionary algorithms: the extended balanced ranking method (E-BRM). It …