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ICDIM
2008
IEEE
14 years 1 months ago
Hybrid differential evolution - Particle Swarm Optimization algorithm for solving global optimization problems
This paper presents a simple, hybrid two phase global optimization algorithm called DE-PSO for solving global optimization problems. DE-PSO consists of alternating phases of Diffe...
Millie Pant, Radha Thangaraj, Crina Grosan, Ajith ...
CSI
2006
136views more  CSI 2006»
13 years 6 months ago
A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems
In a distributed system, a number of application tasks may need to be assigned to different processors such that the system cost is minimized and the constraints with limited reso...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
13 years 11 months ago
Particle swarm hybridized with differential evolution: black box optimization benchmarking for noisy functions
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noisy functions (BBOB 2009)....
José García-Nieto, Enrique Alba, Jav...
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
13 years 11 months ago
Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noiseless functions (BBOB 20...
José García-Nieto, Enrique Alba, Jav...
ICTAI
2010
IEEE
13 years 4 months ago
Metropolis Particle Swarm Optimization Algorithm with Mutation Operator for Global Optimization Problems
When a local optimal solution is reached with classical Particle Swarm Optimization (PSO), all particles in the swarm gather around it, and escaping from this local optima becomes...
Lhassane Idoumghar, M. Idrissi-Aouad, Mahmoud Melk...