This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …
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 …
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 …
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 …
This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm (IDMO) for constrained engineering design problems. This optimization technique modifies …
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 …
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 …
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 …
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 …