A multi-strategy enhanced chaotic evolution algorithm for global optimization and engineering applications

A coordinated hybrid initialization and multi-operator framework for swarm-based optimization

An enhanced sand cat swarm algorithm (ESC-SCSA) is developed and comprehensively evaluated through sensitivity analysis, ablation studies, convergence analysis, and statistical significance tests, demonstrating its effectiveness and potential generalization capability across both continuous and discrete optimization pr...

A two-stage differential evolution algorithm for collaborative squirrel exploration and its engineering application

An Improved Attraction-Repulsion OptimizationAlgorithm for Global Optimization and EngineeringDesign Problems

Attraction-Repulsion Optimization Algorithm (AROA) is a recently proposed meta-heuristic algorithm known for its simplicity, ease of implementation, and robustness. However, AROA may converge to local optima when applied to complex optimization problems. To address this limitation, we propose an enhanced version called...

Development of a Chaotic Tent Map-Based Pelican Optimization Algorithm for Hyperparameter Optimization

Metaheuristic optimisation algorithms have received a lot of attention due to their ability to solve complicated optimisation problems without using any gradient information. However, the performance of these algorithms may be affected by insufficient exploration, premature convergence and getting stuck in local optima...

Chaotic Sech–Tanh dynamic opposition-based learning for metaheuristic optimization. Part I: strategy development and validation on benchmark and engineering design problems

Abstract Metaheuristic optimization algorithms frequently struggle to maintain an effective balance between exploration and exploitation, particularly on high-dimensional problems where premature convergence and reduced population diversity degrade performance. Opposition-based Learning (OBL) is a widely used remedy, y...

Evaluating Chaotic Map Integration Strategies for MetaheuristicBased Team Formation Optimisation

This paper proposes the Chaotic Roulette Wheel Zebra Optimization Algorithm (CRWZOA), which is a hybrid variant that has been designed for optimizing the healthcare team formation problem. In this algorithm, different types of chaotic maps are considered for initializing the population, such as Logistic, Tent, Sine, an...