[HTML][HTML] Differential evolution and its applications in image processing problems: a comprehensive review

S Chakraborty, AK Saha, AE Ezugwu… - … Methods in Engineering, 2023 - Springer
Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …

A state of art review on applications of multi-objective evolutionary algorithms in chemicals production reactors

Z Al Ani, AM Gujarathi, AH Al-Muhtaseb - Artificial Intelligence Review, 2023 - Springer
Chemical reactors are employed to produce several materials, which are utilized in
numerous applications. The wide use of these chemical engineering units shows their …

Multiobjective optimization of a double-side linear Vernier PM motor using response surface method and differential evolution

W Zhao, A Ma, J Ji, X Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper designs a double-side linear vernier permanent-magnet motor, which
incorporates the merits of high thrust force capability, high power factor, and high efficiency …

Multi-objective whale optimization algorithm for content-based image retrieval

MAE Aziz, AA Ewees, AE Hassanien - Multimedia tools and applications, 2018 - Springer
In the recent years, there are massive digital images collections in many fields of our life,
which led the technology to find methods to search and retrieve these images efficiently. The …

Multi-level thresholding-based grey scale image segmentation using multi-objective multi-verse optimizer

M Abd Elaziz, D Oliva, AA Ewees, S Xiong - Expert Systems with …, 2019 - Elsevier
Image segmentation is among the most important techniques in image processing, and
many methods have been developed to perform this task. This paper presents a new multi …

Self-adaptive differential evolution with Gaussian–Cauchy mutation for large-scale CHP economic dispatch problem

X Chen, A Shen - Neural Computing and Applications, 2022 - Springer
With the widespread application of co-generation units, the combined heat and power
economic dispatch (CHPED) has become an important issue in the power system operation …

A new algorithm based on gray wolf optimizer and shuffled frog leaping algorithm to solve the multi-objective optimization problems

M Karakoyun, A Ozkis, H Kodaz - Applied Soft Computing, 2020 - Elsevier
Multi-objective optimization is many important since most of the real world problems are in
multi-objective category. Looking at the literature, the algorithms proposed for the solution of …

A novel multi-objective optimization based evolutionary algorithm for optimize the services of internet of everything

SP Singh, G Dhiman, W Viriyasitavat, S Kautish - IEEE Access, 2022 - ieeexplore.ieee.org
In the new era, the Internet of Everything (IoE) provides distributed services like data,
processes, people, and things, etc. The services to the connected IoE significantly increase …

Multi-objective chicken swarm optimization: a novel algorithm for solving multi-objective optimization problems

D Zouache, YO Arby, F Nouioua… - Computers & Industrial …, 2019 - Elsevier
In this paper, we extend the chicken swarm optimization (CSO) to solve multi-objective
optimization problems. Our extention aims to balance between diversity and convergence …

[HTML][HTML] Reinforcement-learning-based multi-objective differential evolution algorithm for large-scale combined heat and power economic emission dispatch

X Chen, S Fang, K Li - Energies, 2023 - mdpi.com
As social and environmental issues become increasingly serious, both fuel costs and
environmental impacts should be considered in the cogeneration process. In recent years …