NDLI: Multi-objective evolutionary algorithm based on decision space partition and its application in hybrid power system optimisation

Content Provider	Springer Nature Link
Author	Yang, Guanci Zhang, Ansi Li, Shaobo Wang, Yang Wang, Yunan Xie, Qingsheng He, Ling
Copyright Year	2016
Abstract	The distribution of individuals in a population significantly influences convergence to global optimal solutions. However, determining how to maximise decision space information, which benefits convergence, is disregarded. This paper proposes a type of multi-objective evolutionary algorithm based on decision space partition (DSPEA), and designs the sphere initialisation strategies, initialisation method of individuals in each sphere, updating approach for the centroid, radius, and individuals of a hypersphere, and information sharing mechanism among spheres. The decision space in the DSPEA framework is explicitly divided into several hyperspheres. The non-dominated sorting genetic algorithm II is employed to implement each evolution of each hypersphere. An improvement approach related to the information sharing of the spheres is used to produce the future motions of the spheres by adopting particle swarm optimisation. Twelve problems were used to test the performance of DSPEA, and extensive experimental results show that DSPEA performs better than six state-of-the-art multi-objective evolutionary algorithms. Finally, DSPEA is used to optimise a hybrid power system. The results of the simulation optimisation tests on the parameters of the control strategy and the drive system for hybrid electric vehicles demonstrate that the proposed approach can obtain a set of improved solutions with low fuel consumption and pollutant emission.
Starting Page	827
Ending Page	844
Page Count	18
File Format	PDF
ISSN	0924669X
Journal	Applied Intelligence
Volume Number	46
Issue Number	4
e-ISSN	15737497
Language	English
Publisher	Springer US
Publisher Date	2016-11-25
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Decision space partition model Hypersphere Evolutionary algorithm Hybrid electric vehicles Multi-objective optimisation Artificial Intelligence (incl. Robotics) Mechanical Engineering Manufacturing, Machines, Tools
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A decision support tool coupling a causal model and a multi-objective genetic algorithm

A multi-objective artificial bee colony algorithm based on division of the searching space

Dynamic partition search algorithm for global numerical optimization

Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems

A diversity control mechanism in many objective optimizations

Multileveled Symbiotic Evolutionary Algorithm: Application to FMS Loading Problems

Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems

An Endosymbiotic Evolutionary Algorithm for Optimization

Integration of improved predictive model and adaptive differential evolution based dynamic multi-objective evolutionary optimization algorithm

Multi-objective evolutionary algorithm based on decision space partition and its application in hybrid power system optimisation

Similar Documents

A decision support tool coupling a causal model and a multi-objective genetic algorithm

A multi-objective artificial bee colony algorithm based on division of the searching space

Dynamic partition search algorithm for global numerical optimization

Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems

A diversity control mechanism in many objective optimizations

Multileveled Symbiotic Evolutionary Algorithm: Application to FMS Loading Problems

Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems

An Endosymbiotic Evolutionary Algorithm for Optimization

Integration of improved predictive model and adaptive differential evolution based dynamic multi-objective evolutionary optimization algorithm

Multi-objective evolutionary algorithm based on decision space partition and its application in hybrid power system optimisation