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Date: 2017
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/256941
Description: Abstract: This paper introduces an improved particle swarm optimization to solve economic dispatch problems involving numerous constraints. Depending on the type of generating units, there are optimiz ... More
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Date: 2017
Language: English
Type: Article
Identifier: http://hdl.handle.net/10210/242178
Description: Abstract: Topology plays an important role for Particle Swarm Optimization (PSO) to achieve good optimization performance. It is difficult to find one topology structure for the particles to achieve b ... More
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Date: 2016
Language: English
Type: Article
Identifier: http://hdl.handle.net/10210/124064
Description: Abstract: A new particle optimization algorithm with dynamic topology is proposed based on a small world network. The technique imitates the dissemination of information in a small world network by dy ... More
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Date: 2015
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/20559
Description: Abstract: To improve the production ability of a three-phase submerged arc furnace (SAF), it is necessary to maximize the power input; minimize the supply voltage unbalances to reduce the side effect ... More
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Date: 2015
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/21202
Description: Abstract: It is necessary to change the parameters of PID controller if the parameters of plants change or there are disturbances. Particle swarm optimization algorithm is a powerful optimization algo ... More
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Date: 2014
Type: Article
Identifier: uj:4926
Description: The nurse scheduling problem (NSP) has a great impact on the quality and efficiency of health care operations. Healthcare Operations Analysts have to assign daily shifts to nurses over the planning ho ... More
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Date: 2014
Type: Article
Identifier: uj:4973
Description: The home healthcare staff scheduling problem is concerned with the allocation of care tasks to healthcare staff at a minimal cost, subject to healthcare service requirements, labor law, organizational ... More
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Date: 2012
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/21329
Description: Abstract: At beginning of the search process of particle swarm optimization, one of the disadvantages is that PSO focuses on the global search while the local search is weaken. However, at the end of ... More
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Date: 2011
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/22263
Description: Abstract: In this paper, a new multi-swarm method is proposed for multiobjective particle swarm optimization. To enhance the Pareto front searching ability of PSO, the particles are divided into many ... More
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Date: 2011
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/22087
Description: Abstract: In this paper, a new model for multi-objective particle swarm optimization (MOPSO) is proposed. In this model, each particle’s behavior is influenced by the best experience among its neighbo ... More
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Authors: Sun, Yanxia
Date: 2010
Language: English
Type: Article
Identifier: http://hdl.handle.net/10210/17861
Description: Abstract: Real-life problems are often subject to various constraints that limit the search space to a constrained area. Due to the complexity of constraints, a general deterministic solution is often ... More
Date: 2009
Language: English
Identifier: http://hdl.handle.net/10210/22298
Description: Abstract: A new particle swarm optimization (PSO) algorithm with has a chaotic neural network structure, is proposed. The structure is similar to the Hop¯eld neural network with transient chaos, and h ... More
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