Results 271 to 280 of about 106,374 (297)

Optimizing fuzzy membership function using dynamic multi swarm — PSO

2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), 2016
Performance of fuzzy application to solve the control problems depends on a number of parameters such as the choice and shape of the membership function. Defining MFs manually in a proper way is time consuming, prone to errors and difficult. And especially it depends subjectively based on expert's experiences.
Animesh Kumar Paul, Pintu Chandra Shill
openaire   +1 more source

Multi-swarm particle swarm optimization with multiple learning strategies

Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014
Inspired by the division of labor and migration behavior in nature, this paper proposes a novel particle swarm optimization algorithm with multiple learning strategies (PSO-MLS). In the algorithm, particles are divided into three sub-swarms randomly while three learning strategies with different motivations are applied to each sub-swarm respectively ...
Meng-Qi Peng, Yue-Jiao Gong, Jing-Jing Li, Ying-Biao Lin   +3 more
openaire   +1 more source

Multi swarm optimization based automatic ontology for e-assessment

Computer Networks, 2019
Abstract The utilization of ontology in the e-assessment area has grown tremendously. The context of e-learning is significant to the students for educational purposes. This makes the testing process easy for the students and also for the teachers. The majority of the approaches that deals with the ontology issue have suggested that the individual ...
A. Santhanavijayan, S.R. Balasundaram
openaire   +1 more source

Properties of Quantum Particles in Multi-Swarms for Dynamic Optimization

Fundamenta Informaticae, 2009
This paper studies properties of a multi-swarm system based on a concept of physical quantum particles (mQSO). Quantum particles differ from the classic ones in the way they move. As opposed to the classic view of particle movement, where motion is controlled by linear kinematic laws, quantum particles change their location according to random ...
openaire   +2 more sources

Multi-Swarm-based Parallel Spider Monkey Optimization Algorithm

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE), 2022
Leyla Belaiche, Laid Kahloul, Manel Houimli, Said Bousnane, Saber Benharzallah   +4 more
openaire   +1 more source

Tuning Quantum Multi-Swarm Optimization for Dynamic Tasks

2008
Heuristic approaches already proved their efficiency for the cases where real-world problems dynamically change in time and there is no effective way of prediction of the changes. Among them a mixed multi-swarm optimization (mSO) is regarded as the most efficient.
openaire   +1 more source

Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems

Swarm and Evolutionary Computation, 2023
Andries Engelbrecht
exaly  

A modified particle swarm optimization for multimodal multi-objective optimization

Engineering Applications of Artificial Intelligence, 2020
Hao Liu
exaly  

Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm

Applied Energy, 2022
exaly  

Multi-modal multi-objective particle swarm optimization with self-adjusting strategy

Information Sciences, 2023
Ying Hou
exaly