Evaluating appropriate communication technology for smart grid by using a comprehensive decision-making approach fuzzy TOPSIS

D Abdul, J Wenqi - Soft Computing, 2022 - Springer
The use of suitable communication technologies reduces power consumption, operational
efficiency of the smart grid (SG), and collaboration between SG aspects from generation to …

Dwarf mongoose optimization algorithm

JO Agushaka, AE Ezugwu, L Abualigah - Computer methods in applied …, 2022 - Elsevier
This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …

Human evolutionary optimization algorithm

J Lian, G Hui - Expert Systems with Applications, 2024 - Elsevier
This paper introduces the Human Evolutionary Optimization Algorithm (HEOA), a
metaheuristic algorithm inspired by human evolution. HEOA divides the global search …

Egret swarm optimization algorithm: an evolutionary computation approach for model free optimization

Z Chen, A Francis, S Li, B Liao, D Xiao, TT Ha, J Li… - Biomimetics, 2022 - mdpi.com
A novel meta-heuristic algorithm named Egret Swarm Optimization Algorithm (ESOA) is
proposed in this paper, which is inspired by two egret species' hunting behavior (Great Egret …

Recent progress, challenges and future prospects of applied deep reinforcement learning: A practical perspective in path planning

Y Zhang, W Zhao, J Wang, Y Yuan - Neurocomputing, 2024 - Elsevier
Path planning is one of the most crucial elements in the field of robotics, such as
autonomous driving, minimally invasive surgery and logistics distribution. This review begins …

Improved dwarf mongoose optimization for constrained engineering design problems

JO Agushaka, AE Ezugwu, ON Olaide… - Journal of bionic …, 2023 - Springer
This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm
(IDMO) for constrained engineering design problems. This optimization technique modifies …

[HTML][HTML] Maximum number of generations as a stopping criterion considered harmful

M Ravber, SH Liu, M Mernik, M Črepinšek - Applied Soft Computing, 2022 - Elsevier
Evolutionary algorithms have been shown to be very effective in solving complex
optimization problems. This has driven the research community in the development of novel …

Neighborhood-based differential evolution algorithm with direction induced strategy for the large-scale combined heat and power economic dispatch problem

D Liu, Z Hu, Q Su - Information Sciences, 2022 - Elsevier
The combined heat and power economic dispatch (CHPED) problem is a complicated non-
convex optimization problem with several constraints that has been a challenging and …

Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection

MM Emam, EH Houssein, NA Samee… - Computers in Biology …, 2024 - Elsevier
The identification of tumors through gene analysis in microarray data is a pivotal area of
research in artificial intelligence and bioinformatics. This task is challenging due to the large …

Methods to balance the exploration and exploitation in differential evolution from different scales: A survey

Y Zhang, G Chen, L Cheng, Q Wang, Q Li - Neurocomputing, 2023 - Elsevier
Inspired by the evolutionary process in nature, Differential Evolution (DE) has been widely
concerned and used as a numerical global optimizer for decades of years, since its …