Research on illumination optimization of phototherapy LED based on multi-objective artificial fish swarm algorithm

Journal of Applied Optics ◽

10.5768/jao202142.0205004 ◽

2021 ◽

Vol 42 (2) ◽

pp. 352-359

Author(s):

TANG Qingyao ◽

◽

◽

WU Ran ◽

JI Jiajia ◽

...

Keyword(s):

Artificial Fish Swarm Algorithm ◽

Multi Objective ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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A Novel Artificial Fish Swarm Algorithm Based on Multi-objective Optimization

Lecture Notes in Computer Science - Intelligent Computing Theories and Applications ◽

10.1007/978-3-642-31576-3_9 ◽

2012 ◽

pp. 67-73

Author(s):

Yi-Kui Zhai ◽

Ying Xu ◽

Jun-Ying Gan

Keyword(s):

Multi Objective Optimization ◽

Artificial Fish Swarm Algorithm ◽

Multi Objective ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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Multi-objective reactive power optimization by Modified Artificial Fish Swarm Algorithm in IEEE 57-bus power system

2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) ◽

10.1109/appeec.2014.7066026 ◽

2014 ◽

Author(s):

Shukui Liu ◽

Ying Han ◽

Yubo Ouyang ◽

Qi Li

Keyword(s):

Power System ◽

Reactive Power ◽

Power Optimization ◽

Reactive Power Optimization ◽

Artificial Fish Swarm Algorithm ◽

Multi Objective ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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An artificial fish swarm algorithm for a multi-objective grain transportation problem

Evolutionary Intelligence ◽

10.1007/s12065-019-00228-3 ◽

2019 ◽

Vol 13 (1) ◽

pp. 9-19

Author(s):

Shiyu Jia ◽

Kang Zhou ◽

Sisi Zhou ◽

Haocheng Fang ◽

Yiting Zhen ◽

...

Keyword(s):

Transportation Problem ◽

Artificial Fish Swarm Algorithm ◽

Multi Objective ◽

Artificial Fish Swarm ◽

Swarm Algorithm ◽

Grain Transportation

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Using Multi-objective Artificial Fish Swarm Algorithm to Solve the Software Project Scheduling Problem

International Journal of Computer Applications ◽

10.5120/ijca2018917753 ◽

2018 ◽

Vol 181 (16) ◽

pp. 6-13

Author(s):

Sarah E. ◽

Laheeb M.

Keyword(s):

Project Scheduling ◽

Software Project ◽

Scheduling Problem ◽

Artificial Fish Swarm Algorithm ◽

Multi Objective ◽

Artificial Fish Swarm ◽

Project Scheduling Problem ◽

Swarm Algorithm

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Multi-objective Optimal Power Flow calculation based on the improved Artificial Fish Swarm Algorithm

2012 China International Conference on Electricity Distribution ◽

10.1109/ciced.2012.6508676 ◽

2012 ◽

Author(s):

Wei Wei ◽

Fengjun He ◽

Chao Xia ◽

Shicong Ma ◽

Zhiqian Bo

Keyword(s):

Optimal Power Flow ◽

Power Flow Calculation ◽

Flow Calculation ◽

Artificial Fish Swarm Algorithm ◽

Multi Objective ◽

Optimal Power ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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A pareto artificial fish swarm algorithm for solving a multi-objective electric transit network design problem

Transportmetrica A Transport Science ◽

10.1080/23249935.2020.1773574 ◽

2020 ◽

Vol 16 (3) ◽

pp. 1648-1670 ◽

Author(s):

Yi Liu ◽

Xuesong Feng ◽

Lukai Zhang ◽

Weixing Hua ◽

Kemeng Li

Keyword(s):

Network Design ◽

Design Problem ◽

Network Design Problem ◽

Transit Network ◽

Artificial Fish Swarm Algorithm ◽

Multi Objective ◽

Artificial Fish Swarm ◽

Swarm Algorithm ◽

Transit Network Design

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A Pareto improved artificial fish swarm algorithm for solving a multi-objective fuzzy disassembly line balancing problem

Expert Systems with Applications ◽

10.1016/j.eswa.2017.05.053 ◽

2017 ◽

Vol 86 ◽

pp. 165-176 ◽

Author(s):

Zeqiang Zhang ◽

Kaipu Wang ◽

Lixia Zhu ◽

Yi Wang

Keyword(s):

Line Balancing ◽

Artificial Fish Swarm Algorithm ◽

Multi Objective ◽

Disassembly Line Balancing ◽

Artificial Fish Swarm ◽

Swarm Algorithm ◽

Disassembly Line

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Research of Multi-Objective Power Network Planning Based on Improved Fish Swarm Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.494-495.1735 ◽

2014 ◽

Vol 494-495 ◽

pp. 1735-1738

Author(s):

Xin Yi ◽

Li Xin Ma ◽

Wen Fei Cai ◽

Jin Sun

Keyword(s):

Network Planning ◽

Optimal Solution ◽

Artificial Fish Swarm Algorithm ◽

Multi Objective ◽

Planning Scheme ◽

Degree Of Satisfaction ◽

Artificial Fish Swarm ◽

Power Network Planning ◽

Swarm Algorithm ◽

According to the problem that traditional single objective network planning cant meet the demand of complex gird and key supply mission, using improved artificial fish swarm algorithm (AFSA) for multi-objective grid planning. The paper presents a method through selecting Pareto optimal compromise solution by calculating and comparing the degree of satisfaction of each planning scheme with the reference of scholar Paretos approach of striking a multi-objective optimal solution. This method can effectively balance weights between multiple targets and improve the reliability and economy of power grid. The experiment results show the good performance of the proposed method.

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Modified Artificial Fish Swarm Algorithm for Efficient Task Scheduling in Cloud Environment

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.13631371 ◽

2019 ◽

Vol 7 (5) ◽

pp. 1363-1371

Author(s):

H. Krishnaveni ◽

V. Sinthu Janita

Keyword(s):

Task Scheduling ◽

Cloud Environment ◽

Artificial Fish Swarm Algorithm ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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PERFORMANCE EVALUATION OF CULTURAL ARTIFICIAL BEE COLONY AND CULTURAL ARTIFICIAL FISH SWARM ALGORITHM

i-manager s Journal on Computer Science ◽

10.26634/jcom.6.4.15725 ◽

2019 ◽

Vol 6 (4) ◽

pp. 43

Author(s):

HADIR ADEBIYI BUSAYO ◽

TIJANI SALAWUDEEN AHMED ◽

FOLASHADE O. ADEBIYI RISIKAT ◽

◽

◽

...

Keyword(s):

Performance Evaluation ◽

Artificial Bee Colony ◽

Artificial Fish Swarm Algorithm ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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