Dual nest pigeon-inspired optimization and its application in engineering constrained optimization problems

A new dual-population constrained multi-objective evolutionary optimization algorithm with repair constraint handling for structural optimization

This study introduces a novel constrained multi-objective evolutionary algorithm, termed DPCME, which employs two interacting populations that exchange information, enabling effective global exploration and reducing the risk of convergence to local optima.

Enhanced crested porcupine optimizer for global optimization and constrained engineering problems

Balancing Exploration and Exploitation Through a Sequential Hybrid of Roach Infestation and Mayfly Algorithms for Constrained Engineering Design Optimization

A sequential hybrid metaheuristic that integrates the global search virtues of the roach infestation optimization framework with the local refinement strengths of the mayfly algorithm to boost search efficiency in constrained optimization problems is introduced.

Multi-objective chaos game optimization for constrained structural design using chaos-inspired search dynamics

This study introduces Multi-Objective Chaos Game Optimization (MOCGO), a metaheuristic algorithm developed for the purpose of handling multi-objective structural optimization problems with constraints that performs significantly better than other algorithms, including NSGA-II, MOGOA, MOALO, and MOAVOA.

Cat Reflex Optimization (CRO): a multi-stage metaheuristic for high-dimensional and constrained engineering optimization

Camel foraging optimization algorithm: a mechanism-driven metaheuristic with fractional memory for constrained optimization

Global optimization problems often involve nonlinear, multimodal, non-separable, and constrained search landscapes that challenge population-based metaheuristics under limited function-evaluation budgets. This paper proposes the camel foraging optimization algorithm (CFEOA), a mechanism-driven metaheuristic that comb...