Binary social group optimization algorithm for solving 0-1 knapsack problem
In this paper, we propose the binary version of the Social Group Optimization (BSGO) algorithm for solving the 0-1 knapsack problem. The standard Social Group Optimization (SGO) is used for continuous optimization problems. So a transformation function is used to convert the continuous valu...
Enregistré dans:
Auteurs principaux: | Anima Naik, Pradeep Kumar Chokkalingam |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Growing Science
2022
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/c5cdf5c9e85b4c38b5546c05fefcf53c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Investigating the occupant existence to reduce energy consumption by using a hybrid artificial neural network with metaheuristic algorithms
par: Nehal Elshaboury
Publié: (2022) -
Planning rice cultivation in a large plot agricultural system
par: Montri Singhavara, et autres
Publié: (2022) -
An optimal Islamic investment decision in two-region economy: The case of Indonesia and Malaysia
par: Ferry Syarifuddin, et autres
Publié: (2022) -
Simulation optimization of an inventory control model for a reverse logistics system
par: Hanane Rachih, et autres
Publié: (2022) -
Modelling of natural growth with memory effect in economics: An application of adomian decomposition and variational iteration methods
par: Muhamad Deni Johansyah, et autres
Publié: (2022)