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A Bi-level Multiobjective PSO Algorithm
2015Bi-level optimization represents a class of optimization problems with two decision levels: the upper level (leader) and the lower level (follower). Bi-level problems have been extensively studied for single objective problems, but there is few research in case of multiobjective problems in both levels.
Pedro Carrasqueira +2 more
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2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE), 2012
For improving the Generative Process Planning, this paper researches the auto set-up planning method. Base on defining the manufacture ability unit, this paper builds the mathematics model which makes the knowledge and context conditions as can be added dynamically constraints, the units splits of manufacture resources as decision objects, uses ...
Han Feng, Zhang Zhen-ming
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For improving the Generative Process Planning, this paper researches the auto set-up planning method. Base on defining the manufacture ability unit, this paper builds the mathematics model which makes the knowledge and context conditions as can be added dynamically constraints, the units splits of manufacture resources as decision objects, uses ...
Han Feng, Zhang Zhen-ming
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PSO Heuristics Algorithm for Portfolio Optimization
2010One of the most studied problems in the financial is the intractability of the portfolios Some practical formulations of the problem include various kinds of nonlinear constraints and objectives and can be efficiently solved by approximate algorithms In this paper, we present a meta-heuristic algorithm named Particle Swarm Optimization (PSO) to the ...
Yun Chen, Hanhong Zhu
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A Mixed PSO algorithm for the VRPSPD
2008 Chinese Control and Decision Conference, 2008This paper investigates the reverse logistics vehicle routing problem with a single depot, simultaneous distribution and collection of the goods by a homogeneous fleet of vehicles under the restrictions of maximum capacities and maximum distance.
null Zhang Tao +3 more
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SWARM INTELLIGENCE: PSO ALGORITHM
2022A natural metaphor is a key to solve any complex optimization problem in scientific community. [1]The classical optimization problem is unable to solve the highly non linear problem because of non-adaptability. A flexible and adaptable algorithm is needed to model the real-time problem easily. More nature inspired algorithms were emerged.
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Integer-PSO: a discrete PSO algorithm for task scheduling in cloud computing systems
Evolutionary Intelligence, 2019Cloud computing is an emerging technology that changes the computing world through its power to serve the need of any user who requires better computing power over the Internet. For this environment the end user may want to have a better Quality of Service at low cost and cloud service providers have a different goal of achieving maximum profit and ...
A. S. Ajeena Beegom, M. S. Rajasree
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A Memetic PSO Algorithm for Scalar Optimization Problems
2007 IEEE Swarm Intelligence Symposium, 2007In this paper we introduce line search strategies originating from continuous optimization for the realization of the guidance mechanism in particle swarm optimization for scalar optimization problems. Since these techniques are well-suited for-but not restricted to-local search the resulting algorithm can be considered to be memetic.
Oliver Schütze 0001 +4 more
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Load despatch and PSO algorithm for DED control
International Journal of Automation and Control, 2007The efficient and optimum economic operation, control and planning of generating units have always occupied important positions in the electric power industry. Optimisation is a very essential element in the power system, whether in the design or operational stage, to ensure minimum cost, which is of prime concern.
Chinmoy Kumar Panigrahi +2 more
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Research on PSO algorithms for the rectangular packing problem
International Journal of Computer Applications in Technology, 2015For packing problems that are complex optimisation problems, the solutions must rely on heuristics. Particle swarm optimisation PSO is an emerging technique that utilises heuristics. Because of its simplicity, PSO has been widely applied to a variety of fields, including applications to the packing problem.
Jinmin Wang, Yang Qi, Jing Zhang
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An improved cooperative PSO algorithm
2010 8th World Congress on Intelligent Control and Automation, 2010Traditional PSO algorithms suffer form the “curse of dimensionality”, which implies that their performance deteriorates as the dimensionality of the search space increase. This paper presents a variation on the traditional PSO algorithms, called improved cooperative particle swarm optimization, or COPSO, employing cooperative behavior to significantly ...
null Ming Li +2 more
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