Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Kedar Nath Das"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract In the last decade, numerous multi/many-objective evolutionary algorithms (MOEAs) have been proposed to handle multi/many-objective problems (MOPs) with challenges such as discontinuous Pareto Front (PF), degenerate PF, etc. MOEAs in the lit
Externí odkaz:
https://doaj.org/article/b97ff994bba14bb8b02ec3bcffb7961f
Publikováno v:
Mathematics, Vol 9, Iss 22, p 2837 (2021)
In multi/many-objective evolutionary algorithms (MOEAs), to alleviate the degraded convergence pressure of Pareto dominance with the increase in the number of objectives, numerous modified dominance relationships were proposed. Recently, the strength
Externí odkaz:
https://doaj.org/article/b8050951ba5c4f06a3bf86b31cbf1c41
Publikováno v:
Soft Computing. 26:10301-10320
Publikováno v:
Multimedia Tools and Applications. 82:7971-7989
Publikováno v:
Complex & Intelligent Systems. 7:2885-2894
Transportation problem (TP) is a popular branch of Linear Programming Problem in the field of Transportation engineering. Over the years, attempts have been made in finding improved approaches to solve the TPs. Recently, in Quddoos et al. (Int J Comp
Publikováno v:
Applied Soft Computing. 139:110223
In the United States, there is one death out of every four due to cancer. Cancer chemotherapy is one of the few practices adopted for the treatment of this disease that uses anti-cancer drugs. However cancer chemotherapy comes hand in hand with a lar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5d8487b7989e4c7debbaa12cf4e076e
https://doi.org/10.21203/rs.3.rs-1123234/v1
https://doi.org/10.21203/rs.3.rs-1123234/v1
Publikováno v:
Computers and Electronics in Agriculture. 204:107566
Publikováno v:
International Journal of Applied Metaheuristic Computing. 11:114-129
In this article, a new algorithm, namely the multi-objective competitive swarm optimizer (MOCSO), is introduced to handle multi-objective problems. The algorithm has been principally motivated from the competitive swarm optimizer (CSO) and the NSGA-I
Publikováno v:
Biologically Inspired Techniques in Many Criteria Decision Making ISBN: 9789811687389
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fdc6401f749f323243830605f7168ff
https://doi.org/10.1007/978-981-16-8739-6_47
https://doi.org/10.1007/978-981-16-8739-6_47