Results 11 to 20 of about 95,995 (294)
Hovering Swarm Particle Swarm Optimization
IEEE Access, 2021 PSO is a simple and yet powerful metaheuristic search algorithm widely used to solve various optimization problems. Nevertheless, conventional PSO tends to lose its population diversity drastically and suffer with compromised performance when ...
Aasam Abdul Karim +2 more
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Multiswarm comprehensive learning particle swarm optimization for solving multiobjective optimization problems. [PDF]
PLoS ONE, 2017 Comprehensive learning particle swarm optimization (CLPSO) is a powerful state-of-the-art single-objective metaheuristic. Extending from CLPSO, this paper proposes multiswarm CLPSO (MSCLPSO) for multiobjective optimization.
Xiang Yu, Xueqing Zhang
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Cooperation of Nature and Physiologically Inspired Mechanism in Visualisation [PDF]
, 2012 A novel approach of integrating two swarm intelligence algorithms is considered, one simulating the behaviour of birds flocking (Particle Swarm Optimisation) and the other one (Stochastic Diffusion Search) mimics the recruitment behaviour of one species ...
Aber, Ahmed +2 more
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Entropy, 2013 State-of-the-art heuristic algorithms to solve the vehicle routing problem with time windows (VRPTW) usually present slow speeds during the early iterations and easily fall into local optimal solutions.
Qi Hu +4 more
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SiFSO: Fish Swarm Optimization-Based Technique for Efficient Community Detection in Complex Networks
Complexity, 2020 Efficient community detection in a complex network is considered an interesting issue due to its vast applications in many prevailing areas such as biology, chemistry, linguistics, social sciences, and others.
Yasir Ahmad +7 more
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Spread-based elite opposite swarm optimizer for large scale optimization
Cognitive Robotics, 2022 To prevent the traditional particle swarm optimizer (PSO) from inefficient search in complex problem spaces, this paper presents a novel spread-based elite opposite swarm optimizer (SEOSO) for large scale optimization.
Li Zhang, Yu Tan
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Particle swarm optimization with composite particles in dynamic environments [PDF]
, 2010 This article is placed here with the permission of IEEE - Copyright @ 2010 IEEEIn recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments.
Liu, L, Wang, D, Yang, S
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An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis [PDF]
, 2019 open access articleThis article presents a novel hybrid classification paradigm for medical diagnoses and prognoses prediction. The core mechanism of the proposed method relies on a centroid classification algorithm whose logic is exploited to formulate ...
Caraffini, Fabio +2 more
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Swarm intelligence: the state of the art special issue of natural computing [PDF]
Natural Computing, 2010 It has long been recognised that nature provides many stunning and intriguing examples of group behaviour. Different species of bird swarm in varieties of numbers and in varieties of formations; ants collective hunt food in huge numbers; schools of fish adopt close knit and ever-changing formations as they bewilder predators and bewitch prey.
Eric Bonabeau +2 more
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An improved poor and rich optimization algorithm.
PLoS ONE, 2023 The poor and rich optimization algorithm (PRO) is a new bio-inspired meta-heuristic algorithm based on the behavior of the poor and the rich. PRO suffers from low convergence speed and premature convergence, and easily traps in the local optimum, when ...
Yanjiao Wang, Shengnan Zhou
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