Results 231 to 240 of about 79,920 (249)
Some of the next articles are maybe not open access.
Milkfish Feed Optimization Using Adaptive Particle Swarm Optimization (PSO) Algorithm
2019 International Conference on Sustainable Information Engineering and Technology (SIET), 2019Milkfish is a cultivation commodity that contributes quite significantly on a national scale. But in practice, milkfish cultivation requires a large number of production costs, especially in the provision of fish feed. This research will discuss how to optimize the composition of milkfish feed, minimize costs without lowering production yields, and ...
Beryl Labique Ahmadie +3 more
openaire +1 more source
EEA-PSO: Endmember extraction using advance particle swarm optimization
2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018A swarm intelligence theory has been widely applied for the endmember extraction due to its mathematical tractability and its improved performance without prior information. We proposed an endmember extraction algorithm using particle swarm optimization (EEA-PSO). It is equipped with an advantage of the adaptive tuning parameter free mechanism.
Omprakash W. Tembhurne +1 more
openaire +1 more source
The flexi-PSO: Towards a more flexible particle swarm optimizer
OPSEARCH, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
A Inflexion Nonlinear Global Particle Swarm Optimization (PSO) Algorithm
Advanced Materials Research, 2014According to the question of the standard particle swarm optimization (PSO) algorithm is prone to premature and no convergence phenomenon, this paper proposed an algorithm of Inflection nonlinear global PSO. The algorithm introduces nonlinear trigonometric factor and the global average location information in the formula of velocity updating.
Li Xia Lv, Xiang Yu Lin
openaire +1 more source
Particle Swarm Optimization (PSO) for Optimization in Video Steganography
2016This chapter describes use of Natural Computing for optimization in the domain of Steganography. Steganography is an art of concealing information in any media. Internet has made digital content popular and very widely used media. Digital contents shared over Internet are text, audio, images and video streams.
openaire +1 more source
Qualitative Particle Swarm Optimization (Q-PSO) for Energy-Efficient Building Designs
2014Particle Swarm Optimization (PSO) is a stochastic optimization method, based on the social behavior of bird flocks. The method, known for its high performance in optimization, has been mainly developed for problems involving just quantitative variables. In this paper we propose a new approach called Qualitative Particle Swarm Optimization (Q-PSO) where
SLANZI, Debora +5 more
openaire +2 more sources
A novel particle swarm optimizer without velocity: Simplex-PSO
Journal of Central South University of Technology, 2010A simplex particle swarm optimization (simplex-PSO) derived from the Nelder-Mead simplex method was proposed to optimize the high dimensionality functions. In simplex-PSO, the velocity term was abandoned and its reference objectives were the best particle and the centroid of all particles except the best particle.
Hong-feng Xiao, Guan-zheng Tan
openaire +1 more source
PSO (Particle Swarm Optimization): One Method, Many Possible Applications
2010Particle Swarm Optimization (PSO ) is an optimization technique, deriving from the EO [5]: the main features are the natural inspiration and the possibility to implement PSO onto different levels. This chapter is divided in three section: (1) the PSO definitions and relationship with MAS (Multi Agent Systems) framework; (2) three applications of PSO ...
Cecconi F, Campennì, M
openaire +3 more sources
Software quality prediction using random particle swarm optimization (PSO)
2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), 2016In this paper we have considered java based modules as a dataset for software quality prediction. The properties used are class, object, inheritance and dynamic behavior. The data modularity considered for this work is 1–10 and 11–20. First the data is arranged in the group and then it is tested based on chi-square test.
Asif Ali +2 more
openaire +1 more source