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Fast multi-swarm optimization for dynamic optimization problems [PDF]
2008 Fourth International Conference on Natural Computation, 2008 This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Li, C, Yang, S
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Multi Swarm Optimization Based Clustering with Tabu Search in Wireless Sensor Network. [PDF]
Sensors (Basel), 2022 Wireless Sensor Networks (WSNs) can be defined as a cluster of sensors with a restricted power supply deployed in a specific area to gather environmental data.
Suganthi S +3 more
europepmc +2 more sources
Multitasking Multi-Swarm Optimization [PDF]
2019 IEEE Congress on Evolutionary Computation (CEC), 2019 Multi-task optimization (MTO) is a newly emerging research area in the field of optimization, studying on how to solve multiple optimization problems at the same time so that the processes of solving different but relevant problems could help each other ...
Hui Song +3 more
semanticscholar +4 more sources
Expansion of Particle Multi-Swarm Optimization
Artificial Intelligence Research, 2018 For improving the search ability and performance of elementary multiple particle swarm optimizers, we, in this paper, propose a series of multiple particle swarm optimizers with information sharing by introducing a special strategy,called multi-swarm ...
Hiroshi Sho
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Dynamic Multi-Swarm Particle Swarm Optimization Based on Elite Learning [PDF]
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019 This paper presents a dynamic multi-swarm particle swarm optimization based on an elite learning strategy (DMS-PSO-EL). In DMS-PSO-EL, the whole evolutionary process is divided into a former stage and a later stage.
Xuewen Xia +3 more
semanticscholar +3 more sources
Optimizing Laying Hen Diet using Multi-Swarm Particle Swarm Optimization
TELKOMNIKA (Telecommunication Computing Electronics and Control), 2018 Formulating animal diet by accounting fluctuating cost, nutrient requirement, balanced amino acids, and maximum composition simultaneously is a difficult and complex task.
Gusti Ahmad Fanshuri Alfarisy +2 more
semanticscholar +3 more sources
Parameters Optimization of Tuned Mass Damper Using Fast Multi Swarm Optimization
Jurnal Teknik Sipil, 2019 Tuned mass damper (TMD) has been used for vibration controller of building, especially for high rise building. TMD is one of passive device for reducing response of the structure which subjected to dynamic external disturbance such as wind, or ...
Richard Frans, Yoyong Arfiadi
doaj +5 more sources
Symbiosis-Based Alternative Learning Multi-Swarm Particle Swarm Optimization
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017 Inspired by the ideas from the mutual cooperation of symbiosis in natural ecosystem, this paper proposes a new variant of PSO, named Symbiosis-based Alternative Learning Multi-swarm Particle Swarm Optimization (SALMPSO). A learning probability to select one exemplar out of the center positions, the local best position, and the historical best position ...
Ben Niu +3 more
semanticscholar +3 more sources
Multi-Objective Optimization of Wire Antennas: Genetic Algorithms Versus Particle Swarm Optimization [PDF]
Radioengineering, 2005 The paper is aimed to the multi-objective optimization of wiremulti-band antennas. Antennas are numerically modeled using time-domainintegral-equation method.
Z. Raida, Z. Lukes
doaj +2 more sources
Multi-Guide Set-Based Particle Swarm Optimization for Multi-Objective Portfolio Optimization
Algorithms, 2023 Portfolio optimization is a multi-objective optimization problem (MOOP) with risk and profit, or some form of the two, as competing objectives. Single-objective portfolio optimization requires a trade-off coefficient to be specified in order to balance ...
Kyle Erwin, Andries Engelbrecht
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