The Multi-Stage Transmission Network Planning Based on Chaotic Artificial Fish School Algorithm

Hongzhan, Nie; Wang, Biyuan; Zhang, Dongsheng; Bo, Bai

doi:10.1109/iceee.2010.5661547

Cited by 3 publications

(4 citation statements)

References 1 publication

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“…• Chaotic ASFA (Nie et al 2010;Huang and Lin 2008;Ma and Wang 2009;Zhu and Jiang 2009;Chen and Tian 2010). …”

Section: Discussionmentioning

confidence: 99%

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Fish Inspired Algorithms

Xing

Gao²

2013

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

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“…• Chaotic ASFA (Nie et al 2010;Huang and Lin 2008;Ma and Wang 2009;Zhu and Jiang 2009;Chen and Tian 2010). …”

Section: Discussionmentioning

confidence: 99%

“…• Network optimization (Yu et al 2005;Jiang et al 2007a;Liu et al 2009a, b;Nie et al 2010;Huang et al 2009;Yu and He 2011;Song et al 2010;Zhang et al 2011;Wang et al 2012). …”

Section: Discussionmentioning

confidence: 99%

Fish Inspired Algorithms

Xing

Gao²

2013

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

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show abstract

“…It is quite difficult to generate a disassembly sequence with a very good fitness value because of randomness (Zhang et al, 2017). While chaotic mapping can improve the exploitation capability in the search space and avoid duplicate solutions with its ergodicity (Nie et al, 2010). GA performs well in global search (Ma and He, 2015).…”

Section: Framework Of the Caafg Algorithmmentioning

confidence: 99%

A hybrid artificial fish swam algorithm for disassembly sequence planning considering setup time

Guo

Zhong

et al. 2018

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Purpose To improve the efficiency of end-of-life product’s disassembly process, this paper aims to propose a disassembly sequence planning (DSP) method to reduce additional efforts of removing parts when considering the changes of disassembly directions and tools. Design/methodology/approach The methodology has three parts. First, a disassembly hybrid graph model (DHGM) was adopted to represent disassembly operations and their precedence relations. After representing the problem as DHGM, a new integer programming model was suggested for the objective of minimizing the total disassembly time. The objective takes into account several criteria such as disassembly tools change and the change of disassembly directions. Finally, a novel hybrid approach with a chaotic mapping-based hybrid algorithm of artificial fish swarm algorithm (AFSA) and genetic algorithm (GA) was developed to find an optimal or near-optimal disassembly sequence. Findings Numerical experiment with case study on end-of-life product disassembly planning has been carried out to demonstrate the effectiveness of the designed criteria and the results exhibited that the developed algorithm performs better than other relevant algorithms. Research limitations/implications More complex case studies for DSP problems will be introduced. The performance of the CAAFG algorithm can be enhanced by improving the design of AFSA and GA by combining them with other search techniques. Practical implications DSP of an internal gear hydraulic pump is analyzed to investigate the accuracy and efficiency of the proposed method. Originality/value This paper proposes a novel CAAFG algorithm for solving DSP problems. The implemented tool generates a feasible optimal solution and the considered criteria can help the planer obtain satisfactory results.

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“…In this way, a complex power grid with hundreds of nodes will be simplified to a network with dozens of nodes, so that may lose some feasible solutions. Reference [6] proposes methods based on graph theory whose essence is solving process of graph partition. However, the existing methods have some difficult in connectivity.…”

Section: Introductionmentioning

confidence: 99%

A Method of Controlled Islanding Strategy Based on Artificial Fish Swarm Algorithm

Wang

Tang

Liao

et al. 2014

AMM

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Optimal controlled islanding strategy searching is a complex combinational optimization problem. Artificial fish swarm algorithm (AFSA) based on the simulation of fish swarm is an intelligent meta-heuristics. In this paper, AFSA is applied to the searching of optimal controlled islanding strategy. In order to minimize the unbalanced power in each island, a mathematic model is established with some constraints. Simulation result on IEEE-39 node system shows that the proposed method can obtain the optimal strategy promptly and has strong global search ability.

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The Multi-Stage Transmission Network Planning Based on Chaotic Artificial Fish School Algorithm

Cited by 3 publications

References 1 publication

Fish Inspired Algorithms

Fish Inspired Algorithms

A hybrid artificial fish swam algorithm for disassembly sequence planning considering setup time

A Method of Controlled Islanding Strategy Based on Artificial Fish Swarm Algorithm

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