Results 31 to 40 of about 95,995 (294)
Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art [PDF]
International Journal of Computational Intelligence Research, 2006 The success of the Particle Swarm Optimiza- tion (PSO) algorithm as a single-objective optimizer (mainly when dealing with continuous search spaces) has motivated re- searchers to extend the use of this bio-inspired technique to other areas. One of them is multi-objective optimization. De- spite the fact that the first proposal of a Multi-Objective Par-
Carlos A. Coello Coello +1 more
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Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima [PDF]
, 2012 Copyright @ Elsevier Inc. All rights reserved.Multimodal optimization problems pose a great challenge of locating multiple optima simultaneously in the search space to the particle swarm optimization (PSO) community.
Beasley +15 more
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Improved Bat Algorithm Applied to Multilevel Image Thresholding
The Scientific World Journal, 2014 Multilevel image thresholding is a very important image processing technique that is used as a basis for image segmentation and further higher level processing.
Adis Alihodzic, Milan Tuba
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Journal of Imaging, 2023 Histopathology image analysis is considered as a gold standard for the early diagnosis of serious diseases such as cancer. The advancements in the field of computer-aided diagnosis (CAD) have led to the development of several algorithms for accurately ...
Anusree Kanadath +2 more
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Improved dynamical particle swarm optimization method for structural dynamics [PDF]
, 2019 A methodology to the multiobjective structural design of buildings based on an improved particle swarm optimization algorithm is presented, which has proved to be very efficient and robust in nonlinear problems and when the optimization objectives are in
Annicchiarico, W. C. +1 more
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The State of Art in Particle Swarm Optimization Based Unit Commitment: A Review [PDF]
Processes, 2019 Unit Commitment (UC) requires the optimization of the operation of generation units with varying loads, at every hour, under different technical and environmental constraints. Many solution techniques were developed for the UC problem, and the researchers are still working on improving the efficiency of these techniques.
Gad Shaari +2 more
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Complexity, 2018 Population-based optimization algorithms are useful tools in solving engineering problems. This paper presents an elitist transposon quantum-based particle swarm algorithm to solve economic dispatch (ED) problems.
Angus Wu, Zhen-Lun Yang
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UAVSwarm Dataset: An Unmanned Aerial Vehicle Swarm Dataset for Multiple Object Tracking
Remote Sensing, 2022 In recent years, with the rapid development of unmanned aerial vehicles (UAV) technology and swarm intelligence technology, hundreds of small-scale and low-cost UAV constitute swarms carry out complex combat tasks in the form of ad hoc networks, which ...
Chuanyun Wang +4 more
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Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression [PDF]
, 2010 We develop a particle swarm optimisation (PSO) aided orthogonal forward regression (OFR) approach for constructing radial basis function (RBF) classifiers with tunable nodes.
Chen, S, Harris, C J, Hong, Xia
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Ain Shams Engineering JournalFine art painting has shaped civilization throughout history. Fine art painting best expresses the human experience. Smartphones have helped fine art internet galleries grow rapidly. Thus, many internet services and institutions offer substantial digital
Hui Song, Lei Wang, Cheng Song
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