Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems

Knowledge-Based Systems, Год журнала: 2022, Номер 259, С. 110011 - 110011

Опубликована: Окт. 28, 2022

In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is introduced, which mimics coati behavior in nature. The fundamental idea of COA simulation two natural behaviors coatis: (i) their when attacking and hunting iguanas (ii) escape from predators. implementation steps are described mathematically modeled phases exploration exploitation. performance evaluated on fifty-one objective functions, including twenty-nine functions IEEE CEC-2017 test suite twenty-two real-world applications CEC-2011 suite. COA's results compared to those eleven well-known algorithms. indicate that has an evident superiority over algorithms by balancing global search exploitation local search, far more competitive. To assess effectiveness applications, proposed approach implemented four practical optimization problems, high capability dealing with these types problems.

Язык: Английский

---

RIME: A physics-based optimization

Neurocomputing, Год журнала: 2023, Номер 532, С. 183 - 214

Опубликована: Фев. 13, 2023

Язык: Английский

---

Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study

Computers in Biology and Medicine, Год журнала: 2022, Номер 148, С. 105858 - 105858

Опубликована: Июль 16, 2022

Язык: Английский

---

Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation

Computers in Biology and Medicine, Год журнала: 2022, Номер 148, С. 105810 - 105810

Опубликована: Июль 13, 2022

Язык: Английский

---

Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Фев. 29, 2024

Abstract The novelty of this article lies in introducing a novel stochastic technique named the Hippopotamus Optimization (HO) algorithm. HO is conceived by drawing inspiration from inherent behaviors observed hippopotamuses, showcasing an innovative approach metaheuristic methodology. conceptually defined using trinary-phase model that incorporates their position updating rivers or ponds, defensive strategies against predators, and evasion methods, which are mathematically formulated. It attained top rank 115 out 161 benchmark functions finding optimal value, encompassing unimodal high-dimensional multimodal functions, fixed-dimensional as well CEC 2019 test suite 2014 dimensions 10, 30, 50, 100 Zigzag Pattern suggests demonstrates noteworthy proficiency both exploitation exploration. Moreover, it effectively balances exploration exploitation, supporting search process. In light results addressing four distinct engineering design challenges, has achieved most efficient resolution while concurrently upholding adherence to designated constraints. performance evaluation algorithm encompasses various aspects, including comparison with WOA, GWO, SSA, PSO, SCA, FA, GOA, TLBO, MFO, IWO recognized extensively researched metaheuristics, AOA recently developed algorithms, CMA-ES high-performance optimizers acknowledged for success IEEE competition. According statistical post hoc analysis, determined be significantly superior investigated algorithms. source codes publicly available at https://www.mathworks.com/matlabcentral/fileexchange/160088-hippopotamus-optimization-algorithm-ho .

Язык: Английский

---

Liver Cancer Algorithm: A novel bio-inspired optimizer

Computers in Biology and Medicine, Год журнала: 2023, Номер 165, С. 107389 - 107389

Опубликована: Авг. 30, 2023

Язык: Английский

---

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

Computers in Biology and Medicine, Год журнала: 2022, Номер 146, С. 105618 - 105618

Опубликована: Май 18, 2022

Язык: Английский

---

Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems

Artificial Intelligence Review, Год журнала: 2023, Номер 56(9), С. 9329 - 9400

Опубликована: Янв. 30, 2023

Язык: Английский

---

A Bio-Inspired Method for Engineering Design Optimization Inspired by Dingoes Hunting Strategies

Mathematical Problems in Engineering, Год журнала: 2021, Номер 2021, С. 1 - 19

Опубликована: Сен. 20, 2021

A novel bio-inspired algorithm, namely, Dingo Optimization Algorithm (DOA), is proposed for solving optimization problems. The DOA mimics the social behavior of Australian dingo dog. algorithm inspired by hunting strategies dingoes which are attacking persecution, grouping tactics, and scavenging behavior. In order to increment overall efficiency performance this method, three search associated with four rules were formulated in DOA. These provide a fine balance between intensification (exploitation) diversification (exploration) over space. method verified using several benchmark problems commonly used field, classical design engineering problems, optimal tuning Proportional-Integral-Derivative (PID) controller also presented. Furthermore, DOA’s tested against five popular evolutionary algorithms. results have shown that highly competitive other metaheuristics, beating them at majority test functions.

Язык: Английский

---

Computational Intelligence: An Introduction

Studies in computational intelligence, Год журнала: 2022, Номер unknown, С. 411 - 427

Опубликована: Янв. 1, 2022

Язык: Английский

---