Chaotic vortex search algorithm: metaheuristic algorithm for feature selection
Abstract The Vortex Search Algorithm (VSA) is a meta-heuristic algorithm that has been
inspired by the vortex phenomenon proposed by Dogan and Olmez in 2015. Like other meta …
inspired by the vortex phenomenon proposed by Dogan and Olmez in 2015. Like other meta …
Resource scheduling in cloud computing based on a hybridized whale optimization algorithm
The cloud computing paradigm, as a novel computing resources delivery platform, has
significantly impacted society with the concept of on-demand resource utilization through …
significantly impacted society with the concept of on-demand resource utilization through …
Mobile robot path planning by improved brain storm optimization algorithm
Robots have found their purpose in various situations, from speeding the manufacturing
processes to performing complicated tasks in dangerous and hostile environments. One of …
processes to performing complicated tasks in dangerous and hostile environments. One of …
A brain storm and chaotic accelerated particle swarm optimization hybridization
A Michaloglou, NL Tsitsas - Algorithms, 2023 - mdpi.com
Brain storm optimization (BSO) and particle swarm optimization (PSO) are two popular
nature-inspired optimization algorithms, with BSO being the more recently developed one. It …
nature-inspired optimization algorithms, with BSO being the more recently developed one. It …
[PDF][PDF] Moth search algorithm for drone placement problem
This paper presents implementation of the moth search algorithm adjusted for solving static
drone location problem. The optimal location of drones is one of the most important issues in …
drone location problem. The optimal location of drones is one of the most important issues in …
Wireless sensor network localization problem by hybridized moth search algorithm
Wireless sensor networks are widely used and consequently represent an important
research field. The objective of the node localization problem, that belongs to the group of …
research field. The objective of the node localization problem, that belongs to the group of …
Hybridized artificial bee colony algorithm for constrained portfolio optimization problem
Portfolio selection problem that deals with the optimal allocation of capital is a well-known
hard optimization problem in the domains of economics and finance. Basic version of the …
hard optimization problem in the domains of economics and finance. Basic version of the …
Global-best brain storm optimization algorithm based on chaotic difference step and opposition-based learning
Y Zhao, J Cheng, J Cai, B Qi - Scientific Reports, 2024 - nature.com
Recently, the following global-best strategy and discussion mechanism have been
prevailing to solve the slow convergence and the low optimization accuracy in the brain …
prevailing to solve the slow convergence and the low optimization accuracy in the brain …
Stepladder determinative brain storm optimization
G Sovatzidi, DK Iakovidis - Applied Intelligence, 2022 - Springer
Abstract Brain Storm Optimization (BSO) is a swarm intelligence algorithm that mimics the
brainstorming process of human beings. Since the introduction of BSO, many attempts have …
brainstorming process of human beings. Since the introduction of BSO, many attempts have …
Bare bones fireworks algorithm for capacitated p-median problem
The p-median problem represents a widely applicable problem in different fields such as
operational research and supply chain management. Numerous versions of the p-median …
operational research and supply chain management. Numerous versions of the p-median …