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

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

Solving multi-objective optimization problem using cuckoo search algorithm based on decomposition

2020 ◽  
Vol 51 (1) ◽  
pp. 143-160
Author(s):  
Liang Chen ◽  
Wenyan Gan ◽  
Hongwei Li ◽  
Kai Cheng ◽  
Darong Pan ◽  
...  
Keyword(s):  
Optimization Problem ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Multi Objective Optimization ◽  
Multi Objective

Multi-Objective Optimization for Sizing of Distributed Generation Using Cuckoo Search Algorithm

2015 ◽  
Vol 785 ◽  
pp. 34-37 ◽  
Author(s):  
Nurzahirah Mohd Zaid ◽  
Mohd Khairi Mokhtar ◽  
Ismail Musirin ◽  
Nur Azzammudin Rahmat
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Voltage Stability ◽  
Search Algorithm ◽  
Stability Index ◽  
Cuckoo Search ◽  
Problem Formulation ◽  
Cuckoo Search Algorithm ◽  
Multi Objective Optimization ◽  
Multi Objective

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.

A non-dominated Sorting Hybrid Cuckoo Search Algorithm for multi-objective optimization in the presence of FACTS devices

2017 ◽  
Vol 88 (1) ◽  
pp. 44-53 ◽  
Author(s):  
M. Balasubbareddya ◽  
S. Sivanagarajub ◽  
Ch. Venkata Sureshc ◽  
A. V. Naresh Babud ◽  
D. Srilathaa
Keyword(s):  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Facts Devices

scholarly journals Optimization strategy of wireless charger node deployment based on improved cuckoo search algorithm

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yang Wang ◽  
Feifan Wang ◽  
Yujun Zhu ◽  
Yiyang Liu ◽  
Chuanxin Zhao
Keyword(s):  
Sensor Network ◽  
Sensor Node ◽  
Search Algorithm ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Sensor Nodes ◽  
Optimization Strategy ◽  
Multi Objective ◽  
Received Power

AbstractIn wireless rechargeable sensor network, the deployment of charger node directly affects the overall charging utility of sensor network. Aiming at this problem, this paper abstracts the charger deployment problem as a multi-objective optimization problem that maximizes the received power of sensor nodes and minimizes the number of charger nodes. First, a network model that maximizes the sensor node received power and minimizes the number of charger nodes is constructed. Second, an improved cuckoo search (ICS) algorithm is proposed. This algorithm is based on the traditional cuckoo search algorithm (CS) to redefine its step factor, and then use the mutation factor to change the nesting position of the host bird to update the bird’s nest position, and then use ICS to find the ones that maximize the received power of the sensor node and minimize the number of charger nodes optimal solution. Compared with the traditional cuckoo search algorithm and multi-objective particle swarm optimization algorithm, the simulation results show that the algorithm can effectively increase the receiving power of sensor nodes, reduce the number of charger nodes and find the optimal solution to meet the conditions, so as to maximize the network charging utility.

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