An improved Cuckoo search algorithm for multi-objective optimization

This paper presents multi-objective optimization for sizing of distributed generation using cuckoo search algorithm. The study involved the development of cuckoo search optimization engine. Prior to the development of multi-objective for cuckoo algorithm, a pre-developed voltage stability index termed asFVSIfor location identification is used in this study. Weighted sum technique is used as the fitness for the problem formulation. Objectives of the study are to minimize the total real power and improve its voltage stability condition. Test is done on IEEE 69-Bus Radial Distribution System. Results obtained from the study indicated that the proposed technique is feasible for further implementation in power system.

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Cuckoo Search Algorithm for Multi-Objective Optimization of Transient Starting Characteristics of a Self-Starting HVPMSM

IEEE Transactions on Energy Conversion ◽

10.1109/tec.2020.3046650 ◽

2020 ◽

pp. 1-1

Author(s):

Likun Wang ◽

Hai Guo ◽

Fabrizio Marignetti ◽

Clark D. Shaver ◽

Nicola Bianchi

Keyword(s):

Search Algorithm ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Multi Objective Optimization ◽

Multi Objective ◽

Starting Characteristics

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Multi-objective hydropower station operation using an improved cuckoo search algorithm

Energy ◽

10.1016/j.energy.2018.11.096 ◽

2019 ◽

Vol 168 ◽

pp. 425-439 ◽

Cited By ~ 20

Author(s):

Xuejiao Meng ◽

Jianxia Chang ◽

Xuebin Wang ◽

Yimin Wang

Keyword(s):

Search Algorithm ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Hydropower Station ◽

Multi Objective ◽

Improved Cuckoo Search Algorithm

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Multi-objective Optimization of Supply Chain Problem Based NSGA-II-Cuckoo Search Algorithm

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/435/1/012030 ◽

2018 ◽

Vol 435 ◽

pp. 012030 ◽

Cited By ~ 1

Author(s):

Ali Metiaf ◽

Fathy Elkazzaz ◽

Wu Qian Hong ◽

Mohammed Abozied

Keyword(s):

Supply Chain ◽

Search Algorithm ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Multi Objective Optimization ◽

Nsga Ii ◽

Multi Objective ◽

Chain Problem

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Optimization of distribution network configuration with multi objective function based on improved cuckoo search algorithm

Bulletin of Electrical Engineering and Informatics ◽

10.11591/eei.v9i4.1886 ◽

2020 ◽

Vol 9 (4) ◽

pp. 1685-1693

Author(s):

Thuan Thanh Nguyen

Keyword(s):

Objective Function ◽

Search Algorithm ◽

Distribution Network ◽

Optimal Solution ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Multi Objective ◽

Search Mechanism ◽

Voltage Deviation ◽

Improved Cuckoo Search Algorithm

This paper proposes an improved cuckoo search (ICSA) for solving the distribution network reconfiguration (NR) problem with multi-objective function. The membership functions are considered consisting of minimizing of power loss, load balancing among branches and among the feeders, node voltage deviation and switching operation numbers. ICSA is developed from the original CSA with adding the local search mechanism for exploiting around the current best solution. The effectiveness of the ICSA has validated on the 70-node and the 83-node practical systems. The obtained results have been compared to those from runner root algorithm (RRA) and other methods in the literature. The obtained results demonstrate that ICSA has high ability for searching the optimal solution with higher successful rate and better quality of obtained solution as well as smaller iterations compared to RRA and other methods. Therefore, ICSA is a reliable method for the multi-objective NR problems.

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