Results 21 to 30 of about 165,169 (251)
Automatic Generation Method of Test Case Based on RACPSO [PDF]
To solve the problem of slow convergence rate,high possibilities of being trapped in local optimum,and low solution accuracy in Particle Swarm Optimization(PSO) algorithm when applied to automatic software Test Case(TC) generation,this paper presents an ...
HE Ying,XU Weihong,LI Yanglin
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Learning Competitive Swarm Optimization
Particle swarm optimization (PSO) is a popular method widely used in solving different optimization problems. Unfortunately, in the case of complex multidimensional problems, PSO encounters some troubles associated with the excessive loss of population ...
Bożena Borowska
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A review of velocity-type PSO variants
This paper presents a review of the particular variants of particle swarm optimization, based on the velocity-type class. The original particle swarm optimization algorithm was developed as an unconstrained optimization technique, which lacks a model ...
Ivo Sousa-Ferreira, Duarte Sousa
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Multirobot task allocation based on an improved particle swarm optimization approach
Due to its complexity and non-deterministic polynomial-time hard characteristic, multirobot task allocation problem remains a challenging issue in the field of cooperative robotics.
Zhanxia Zhu, Biwei Tang, Jianping Yuan
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Hybrid Modified Particle Swarm Optimization Algorithm for Adjustment of Water Distribution Network Coefficients [PDF]
Regarding the complexity of WDNs, the need for computerized modelling of WDNs is felt more than ever for monitoring their performance at the operational stage.
Mehdi Dini
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Distribution systems continue to grow and becoming more complex with increasing operational challenges such as protection miscoordination. Initially, conventional methods were favoured to solve overcurrent relay coordination problems; however, the ...
Sethembiso Nonjabulo Langazane +1 more
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Dissipative particle swarm optimization
A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness.
Xie, Xiao-Feng +2 more
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Parallelized Particle Swarm Optimization on FPGA for Realtime Ballistic Target Tracking
This paper addresses the problem of tracking a high-speed ballistic target in real time. Particle swarm optimization (PSO) can be a solution to overcome the motion of the ballistic target and the nonlinearity of the measurement model. However, in general,
Juhyeon Park +4 more
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Improved quantum-behaved particle swarm optimization with local search strategy
Quantum-behaved particle swarm optimization, which was motivated by analysis of particle swarm optimization and quantum system, has shown compared performance in finding the optimal solutions for many optimization problems to other evolutionary ...
Maolong Xi +4 more
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Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization
Road traffic safety is essential, therefore in order to predict traffic fatalities effectively and promote the harmonious development of transportation, a traffic fatalities prediction model based on support vector machine is established in this paper ...
Xiaoning Gu +5 more
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