Results 271 to 280 of about 82,097 (301)

Particle Swarm Optimization on FPGA

2018 30th International Conference on Microelectronics (ICM), 2018
The particle swarm optimization PSO is an attractive domain for community looking to enhance time for optimal solutions. Several works will be done for SW or SW/HW implementation. The latter often gives better performance. In this paper, we present a comparative study of these various solutions and we focus on the FPGA ones.
Monia Ettouil, Habib Smei, Abderrazak Jemai   +2 more
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Particle swarm optimization in a nutshell

Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010
Swarm intelligence is the collective intelligence of group of independent agents. It can be applied in optimization. So researchers are increasingly interested in swarm Intelligence. The paper describes the swarm Intelligence. Paper discusses type of biological system - social system, more specifically while focusing on the aspects of developments of ...
Snehal Kamalapur, Shirish Sane
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A naive Particle Swarm Optimization

2012 IEEE Congress on Evolutionary Computation, 2012
Since the proposal of Particle Swarm Optimization (PSO), there have been many improvements of PSO which have not change the basic paradigm of PSO involving pattern of movement of particles, update mode of particles and algorithm framework. Instead of another improvement of PSO, a novel paradigm of PSO with more natural and simpler forms, called naive ...
Jin Qin, Zhenjun Liang
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Interactive particle swarm optimization

5th International Conference on Intelligent Systems Design and Applications (ISDA'05), 2005
It is often desirable to simultaneously handle several objectives and constraints in practical optimization problems. In some cases, these objectives and constraints are non-commensurable and they are not explicitly/mathematically available. For this kind of problems, interactive optimization may be a good approach.
János Madár, János Abonyi, Ferenc Szeifert   +2 more
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Catfish particle swarm optimization

2008 IEEE Swarm Intelligence Symposium, 2008
Catfish particle swarm optimization (CatfishPSO) is a novel optimization algorithm proposed in this paper. The mechanism is dependent on the incorporation of a catfish particle into the linearly decreasing weight particle swarm optimization (LDWPSO). The introduced catfish particle improves the performance of LDWPSO.
Li-Yeh Chuang, Sheng-Wei Tsai, Cheng-Hong Yang 0001   +2 more
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Particle Swarm Optimization with Disagreements

2011
This paper introduces an enhancement to the particle swarm optimization algorithms that models a characteristic of social groups: the disagreements between individuals. After a short introduction, we describe the new concept theoretically and define a special type of particle swarm optimization with disagreements: the 6s-PSOD.
Andrei Lihu, Stefan Holban
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Alignment particle swarm optimization

2009 8th IEEE International Conference on Cognitive Informatics, 2009
Particle swarm optimization (PSO) simulates the boids' collective behaviors. The original biological background of boid should follow three basic simple steering behaviors: separation, alignment and cohesion. However, to promote a fast convergent speed, the velocity update manner of each boid omits the alignment rule, this may result premature ...
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Heterogeneous Particle Swarm Optimization

2010
Particles in the standard particle swarm optimization (PSO) algorithms, and most of its modifications, follow the same behaviours. That is, particles implement the same velocity and position update rules. This means that particles exhibit the same search characteristics.
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Asynchronous Particle Swarm Optimization

2007 IEEE 15th Signal Processing and Communications Applications, 2007
In this article we consider an asynchronous particle swarm optimization (PSO) algorithm. In addition to the fact that the particles can update their estimates independently time delays are also allowed in obtaining information from their neighbors. Moreover, we test the performance of the algorithm with a simulation example.
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Particle swarm optimization

Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014
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