Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
TCS
2010
10 years 2 months ago
Runtime analysis of a binary particle swarm optimizer
We investigate the runtime of a Binary Particle Swarm Optimizer (PSO) for optimizing pseudo-Boolean functions f : {0, 1}n → R. The Binary PSO maintains a swarm of particles sear...
Dirk Sudholt, Carsten Witt
CEC
2010
IEEE
10 years 5 months ago
Adaptive learning particle swarm optimizer-II for global optimization
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
Changhe Li, Shengxiang Yang
CEC
2010
IEEE
10 years 5 months ago
Dynamic multi-swarm particle swarm optimizer with sub-regional harmony search
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) and a sub-regional harmony search (SHS) are hybridized to obtain DMS-PSO-SHS. A Modified multi-trajectory ...
Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, ...
ICONIP
2004
10 years 5 months ago
Evaluation of Comprehensive Learning Particle Swarm Optimizer
Abstract. Particle Swarm Optimizer (PSO) is one of the evolutionary computation techniques based on swarm intelligence. Comprehensive Learning Particle Swarm Optimizer (CLPSO) is a...
Jing J. Liang, A. Kai Qin, Ponnuthurai N. Sugantha...
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
10 years 8 months ago
Dynamic fitness inheritance proportion for multi-objective particle swarm optimization
In this paper, we propose a dynamic mechanism to vary the probability by which fitness inheritance is applied throughout the run of a multi-objective particle swarm optimizer, in ...
Margarita Reyes Sierra, Carlos A. Coello Coello
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
10 years 8 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
10 years 9 months ago
Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid
This paper benchmarks an Estimation of Distribution Algorithm (EDA) and Particle Swarm Optimizer (PSO) on noisefree BBOB 2009 testbed. The algorithm is referred to as EDA-PSO and ...
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
10 years 9 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...
GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
10 years 9 months ago
Black-box optimization benchmarking for noiseless function testbed using PSO_bounds
This paper benchmarks the particle swarm optimizer with adaptive bounds algorithm (PSO Bounds) on the noisefree BBOB 2009 testbed. The algorithm is further augmented with a simple...
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
10 years 9 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...
books