TY  - GEN
N2  - This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables;
AB  - This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables;
T1  - Evolutionary constrained optimization
AU  - Datta, Rituparna,
AU  - Deb, Kalyanmoy,
CN  - QA402.5
N1  - Includes index.
ID  - 724886
KW  - Constrained optimization.
SN  - 9788132221845
SN  - 8132221842
TI  - Evolutionary constrained optimization
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-81-322-2184-5
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-81-322-2184-5
ER  -