Waterwheel Plant Algorithm: A Novel Metaheuristic Optimization Method

Processes, Год журнала: 2023, Номер 11(5), С. 1502 - 1502

Опубликована: Май 15, 2023

Attempting to address optimization problems in various scientific disciplines is a fundamental and significant difficulty requiring optimization. This study presents the waterwheel plant technique (WWPA), novel stochastic motivated by natural systems. The proposed WWPA’s basic concept based on modeling plant’s behavior while hunting expedition. To find prey, WWPA uses plants as search agents. We present mathematical model for use addressing problems. Twenty-three objective functions of varying unimodal multimodal types were used assess performance. results optimizing demonstrate strong exploitation ability get close optimal solution, show exploration zero major region space. Three engineering design also gauge potential improving practical programs. effectiveness was evaluated comparing its with those seven widely metaheuristic algorithms. When compared eight competing algorithms, simulation analyses that outperformed them finding more proportionate balance between exploitation.

Язык: Английский

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Intelligent Physarum Solver for Profit Maximization in Oligopolistic Supply Chain Networks

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 156 - 179

Опубликована: Янв. 29, 2024

This chapter discusses the use of an intelligent physarum solver (IPS) to optimize profit in oligopolistic supply chain networks. The IPS, inspired by foraging behavior polycephalum slime mold, addresses challenges resource allocation and distribution markets. analyzes IPS framework's effectiveness modeling optimizing various aspects chains, including pricing strategies, production allocation, logistics. research uses case studies simulations demonstrate how can improve decision-making, foster cooperation among firms, increase profitability It nature-inspired intelligence provide practical solutions for businesses environments, contributing valuable insights management.

Язык: Английский

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Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization

Knowledge-Based Systems, Год журнала: 2024, Номер 295, С. 111737 - 111737

Опубликована: Апрель 12, 2024

This study proposes a novel artificial protozoa optimizer (APO) that is inspired by in nature. The APO mimics the survival mechanisms of simulating their foraging, dormancy, and reproductive behaviors. was mathematically modeled implemented to perform optimization processes metaheuristic algorithms. performance verified via experimental simulations compared with 32 state-of-the-art Wilcoxon signed-rank test performed for pairwise comparisons proposed algorithms, Friedman used multiple comparisons. First, tested using 12 functions 2022 IEEE Congress on Evolutionary Computation benchmark. Considering practicality, solve five popular engineering design problems continuous space constraints. Moreover, applied multilevel image segmentation task discrete experiments confirmed could provide highly competitive results problems. source codes Artificial Protozoa Optimizer are publicly available at https://seyedalimirjalili.com/projects https://ww2.mathworks.cn/matlabcentral/fileexchange/162656-artificial-protozoa-optimizer.

Язык: Английский

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PID-based search algorithm: A novel metaheuristic algorithm based on PID algorithm

Expert Systems with Applications, Год журнала: 2023, Номер 232, С. 120886 - 120886

Опубликована: Июнь 24, 2023

Язык: Английский

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Chaotic RIME optimization algorithm with adaptive mutualism for feature selection problems

Computers in Biology and Medicine, Год журнала: 2024, Номер 179, С. 108803 - 108803

Опубликована: Июль 1, 2024

Язык: Английский

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