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Date: 2019
Language: English
Type: Article
Identifier: http://hdl.handle.net/10210/291789
Description: Abstract: This paper proposes an improved enhanced differential evolution algorithm for implementing demand response between aggregator and consumer. The proposed algorithm utilizes a secondary popula ... More
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Date: 2018
Subject: Component | Formatting | Style
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/274916
Description: Abstract: This paper presents an algorithm based on dynamic multiobjective optimization (DMO) which employs a single randomly mutating time-variant archive to balance convergence and diversity in orde ... More
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Date: 2018
Language: English
Type: Article
Identifier: http://hdl.handle.net/10210/274901
Description: Abstract: This paper investigates the effect of selected strategies of distributed energy resources (DER) on an energy cost function, which optimizes the allocation of distributed energy resources for ... More
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Date: 2018
Language: English
Type: Article
Identifier: http://hdl.handle.net/10210/274909
Description: Abstract: This study develops a new integrated measurement and control system for intermixed biogas and photovoltaic systems to achieve safe and optimal energy usage. Literature and field studies show ... More
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Date: 2017
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/247883
Description: Abstract: To improve the optimization performance of multi-objective particle swarm optimization, a new sub-swarm method, where the particles are divided into several sub-swarms, is proposed. To enhan ... 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: 2017
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/256932
Description: Abstract: The challenges of many-objective optimization are investigated; and one new algorithm, which is based on the NSGA-II, is proposed for multi-objective optimization in this paper. The referenc ... More
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Date: 2016
Language: English
Type: Conference proceeding
Identifier: http://hdl.handle.net/10210/92362
Description: Abstract: The particle velocity and position updating plays very important role for achieving good optimization performance for Particle Swarm Optimization (PSO). This paper analyzed the performance o ... 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
Language: English
Type: Article
Identifier: http://hdl.handle.net/10210/17800
Description: Abstract: The dynamics of nonlinear system is very complicated especially the fractional nonlinear system since they can be found in many areas of engineering and science. The dynamics of the Lorenz s ... More
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Date: 2014
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/21137
Description: Abstract: With the development of internet, software and the relevant techniques, the e-education becomes more and more attractive. As one of most famous open distance universities, the University of ... More
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Date: 2014.
Language: English
Type: Citation: Sun, Y. et al. 2014. Hypothesis testing-based adaptive PSO. Journal of Engineering, Design and Technology 12(1):89-101.
Identifier: http://hdl.handle.net/10210/16220
Description: Abstract: In this paper, a new method to improve the performance of particle swarm optimization is proposed. The proposed method applies hypothesis testing to determine whether the particles trap into ... More
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Date: 2013
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/21292
Description: Abstract: To avoid the bored try and error method of finding a set of parameters of Particle Swarm Optimization (PSO) and achieve good optimization performance, it is desired to get an adaptive optimi ... More
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Date: 2013
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/21240
Description: Abstract: In this paper, a new algorithm for particle swarm optimisation (PSO) is proposed. In this algorithm, the particles are divided into two groups. The two groups have different focuses when all ... More
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