Improved multi-operator differential evolution algorithm for solving unconstrained problems

KM Sallam, SM Elsayed… - 2020 IEEE congress …, 2020 - ieeexplore.ieee.org
In recent years, several multi-method and multi-operator-based algorithms have been
proposed for solving optimization problems. Generally, their performance is better than other …

Binary chimp optimization algorithm (BChOA): a new binary meta-heuristic for solving optimization problems

J Wang, M Khishe, M Kaveh, H Mohammadi - Cognitive Computation, 2021 - Springer
Chimp optimization algorithm (ChOA) is a newly proposed meta-heuristic algorithm inspired
by chimps' individual intelligence and sexual motivation in their group hunting. The …

Parameter and strategy adaptive differential evolution algorithm based on accompanying evolution

M Wang, Y Ma, P Wang - Information Sciences, 2022 - Elsevier
Differential evolution (DE) is an intelligent optimization algorithm inspired by biological
evolution. Setting a mutation strategy and control parameters that meet the optimization …

A differential evolution algorithm based on accompanying population and piecewise evolution strategy

M Wang, Y Ma - Applied Soft Computing, 2023 - Elsevier
Differential evolution (DE) is a simple and effective stochastic search algorithm, but its
convergence speed and population diversity often decline catastrophically with the evolution …

Differential evolution algorithm for single objective bound-constrained optimization: Algorithm j2020

J Brest, MS Maučec, B Bošković - 2020 IEEE congress on …, 2020 - ieeexplore.ieee.org
In this paper, a new algorithm is presented to deal with real parameter single-objective
optimization problems, which are often complex and computationally very expensive. The …

The spherical search algorithm for bound-constrained global optimization problems

A Kumar, RK Misra, D Singh, S Mishra, S Das - Applied Soft Computing, 2019 - Elsevier
In this paper, a new optimization algorithm called Spherical Search (SS) is proposed to
solve the bound-constrained non-linear global optimization problems. The main operations …

Differential evolution with orthogonal array‐based initialization and a novel selection strategy

A Kumar, PP Biswas, PN Suganthan - Swarm and Evolutionary …, 2022 - Elsevier
Differential evolution (DE) has been a simple yet effective algorithm for global optimization
problems. The performance of DE highly depends on its operators and parameter settings …

Improving the segmentation of digital images by using a modified Otsu's between-class variance

S Singh, N Mittal, H Singh, D Oliva - Multimedia tools and applications, 2023 - Springer
Image segmentation is a critical stage in the analysis and pre-processing of images. It
comprises dividing the pixels according to threshold values into several segments …

Self-adaptive spherical search with a low-precision projection matrix for real-world optimization

A Kumar, S Das, L Kong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Since the last three decades, numerous search strategies have been introduced within the
framework of different evolutionary algorithms (EAs). Most of the popular search strategies …

[HTML][HTML] Differential Evolution with Group-Based Competitive Control Parameter Setting for Numerical Optimization

M Tian, Y Gao, X He, Q Zhang, Y Meng - Mathematics, 2023 - mdpi.com
Differential evolution (DE) is one of the most popular and widely used optimizers among the
community of evolutionary computation. Despite numerous works having been conducted …