Optimal solution of the combined heat and power economic dispatch problem by adaptive fitness-distance balance based artificial rabbits optimization algorithm
Combined heat and power economic dispatch (CHPED) problem is one of the most widely
handled, optimization problem by researchers in modern power systems. CHPED problem is …
handled, optimization problem by researchers in modern power systems. CHPED problem is …
A multi-strategy particle swarm algorithm with exponential noise and fitness-distance balance method for low-altitude penetration in secure space
UAV technology is at the forefront of current research and plays an important role in
agriculture, public safety and the military. Low altitude trajectory is a technology for UAVs to …
agriculture, public safety and the military. Low altitude trajectory is a technology for UAVs to …
[HTML][HTML] Multi-algorithm based evolutionary strategy with adaptive mutation mechanism for constraint engineering design problems
R Salgotra, S Mirjalili - Expert Systems with Applications, 2024 - Elsevier
This paper proposes a new multi-algorithm based evolution strategy with the addition of
adaptive mutation operators for global optimization. The new algorithm namely Kepler …
adaptive mutation operators for global optimization. The new algorithm namely Kepler …
Improve coati optimization algorithm for solving constrained engineering optimization problems
The coati optimization algorithm (COA) is a meta-heuristic optimization algorithm proposed
in 2022. It creates mathematical models according to the habits and social behaviors of …
in 2022. It creates mathematical models according to the habits and social behaviors of …
Piranha predation optimization algorithm (PPOA) for global optimization and engineering design problems
C Zhang, H Li, S Long, X Yue, H Ouyang, Z Chen… - Applied Soft …, 2024 - Elsevier
A new nature-inspired optimization algorithm, Piranha predation optimization algorithm
(PPOA), is proposed based on the unique foraging and predation behaviors of piranhas …
(PPOA), is proposed based on the unique foraging and predation behaviors of piranhas …
Solving power system economic emission dispatch problem under complex constraints via dimension differential learn butterfly optimization algorithm with FDC-based
K He, Y Zhang, Y Wang, R Zhou - Computers & Industrial Engineering, 2024 - Elsevier
The economic emission dispatch (EED) aims to minimize the fuel and pollutant emission
costs of generator units under various complex constraints. Optimizing the EED problem is of …
costs of generator units under various complex constraints. Optimizing the EED problem is of …
Intelligent cross-entropy optimizer: A novel machine learning-based meta-heuristic for global optimization
Abstract Machine Learning (ML) features are extensively applied in various domains,
notably in the context of Metaheuristic (MH) optimization methods. While MHs are known for …
notably in the context of Metaheuristic (MH) optimization methods. While MHs are known for …
Love evolution algorithm: A stimulus–value–role theory-inspired evolutionary algorithm for global optimization
Y Gao, J Zhang, Y Wang, J Wang, L Qin - The Journal of Supercomputing, 2024 - Springer
This paper proposes the Love Evolution Algorithm (LEA), a novel evolutionary algorithm
inspired by the stimulus–value–role theory. The optimization process of the LEA includes …
inspired by the stimulus–value–role theory. The optimization process of the LEA includes …
[HTML][HTML] EABOA: Enhanced adaptive butterfly optimization algorithm for numerical optimization and engineering design problems
K He, Y Zhang, YK Wang, RH Zhou… - Alexandria Engineering …, 2024 - Elsevier
The butterfly optimization algorithm (BOA) is a meta-heuristic algorithm that mimics foraging
and mating behavior of butterflies. In order to alleviate the problems of slow convergence …
and mating behavior of butterflies. In order to alleviate the problems of slow convergence …
MLBRSA: Multi-learning-based reptile search algorithm for global optimization and software requirement prioritization problems
JK Kailasam, R Nalliah… - Biomimetics, 2023 - mdpi.com
In the realm of computational problem-solving, the search for efficient algorithms tailored for
real-world engineering challenges and software requirement prioritization is relentless. This …
real-world engineering challenges and software requirement prioritization is relentless. This …