[HTML][HTML] Golf optimization algorithm: A new game-based metaheuristic algorithm and its application to energy commitment problem considering resilience
In this research article, we uphold the principles of the No Free Lunch theorem and employ it
as a driving force to introduce an innovative game-based metaheuristic technique named …
as a driving force to introduce an innovative game-based metaheuristic technique named …
[PDF][PDF] Skill Optimization Algorithm: A New Human-Based Metaheuristic Technique.
H Givi, M Hubalovska - Computers, Materials & Continua, 2023 - pdfs.semanticscholar.org
Metaheuristic algorithms are widely used in solving optimization problems. In this paper, a
new metaheuristic algorithm called Skill Optimization Algorithm (SOA) is proposed to solve …
new metaheuristic algorithm called Skill Optimization Algorithm (SOA) is proposed to solve …
[HTML][HTML] OOBO: A New Metaheuristic Algorithm for Solving Optimization Problems
This study proposes the One-to-One-Based Optimizer (OOBO), a new optimization
technique for solving optimization problems in various scientific areas. The key idea in …
technique for solving optimization problems in various scientific areas. The key idea in …
[HTML][HTML] Energy and distance based multi-objective red fox optimization algorithm in wireless sensor network
R Natarajan, G Megharaj, A Marchewka… - Sensors, 2022 - mdpi.com
In modern trends, wireless sensor networks (WSNs) are interesting, and distributed in the
environment to evaluate received data. The sensor nodes have a higher capacity to sense …
environment to evaluate received data. The sensor nodes have a higher capacity to sense …
[PDF][PDF] Billiards Optimization Algorithm: A New Game-Based Metaheuristic Approach.
H Givi, M Hubálovská - Computers, Materials & Continua, 2023 - cdn.techscience.cn
Metaheuristic algorithms are one of the most widely used stochastic approaches in solving
optimization problems. In this paper, a new metaheuristic algorithm entitled Billiards …
optimization problems. In this paper, a new metaheuristic algorithm entitled Billiards …
Improved discrete particle swarm optimization using Bee Algorithm and multi-parent crossover method (Case study: Allocation problem and benchmark functions)
H Zibaei, MS Mesgari - arXiv preprint arXiv:2403.10684, 2024 - arxiv.org
Compared to other techniques, particle swarm optimization is more frequently utilized
because of its ease of use and low variability. However, it is complicated to find the best …
because of its ease of use and low variability. However, it is complicated to find the best …