JOURNAL ARTICLE

Applying greedy genetic algorithm on 0/1 multiple knapsack problem

Vinod JainJay Shankar Prasad

Year: 2018 Journal:   International Journal of Advanced Technology and Engineering Exploration Vol: 5 (45)Pages: 292-296

Abstract

Umbarkar et al. [1] propose a genetic algorithm with the dual population to solve optimization problems.The application of dual population improves the performance of the genetic algorithm for solving these problems.It basically removes the problem of

Keywords:
Knapsack problem Continuous knapsack problem Greedy algorithm Genetic algorithm Computer science Mathematical optimization Algorithm Mathematics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
12
Refs
0.12
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Optimization and Packing Problems
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Advanced Manufacturing and Logistics Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

BOOK-CHAPTER

A Hybrid Genetic Algorithm for the 0–1 Multiple Knapsack Problem

Carlos CottaJosé M. Troya

Artificial Neural Nets and Genetic Algorithms Year: 1998 Pages: 250-254
JOURNAL ARTICLE

Greedy Approach for Optimizing 0-1 Knapsack Problem

Shafiqul Abidin

Journal:   Communications on Applied Electronics Year: 2017 Vol: 7 (6)Pages: 1-3
JOURNAL ARTICLE

0-1 Knapsack Problem Solving using Genetic Optimization Algorithm

Mubarak AltamimiEmrullah SonuçNehad RamahaIjibadejo William

Journal:   Engineering and Technology Journal Year: 2024 Vol: 09 (07)
JOURNAL ARTICLE

0-1 Knapsack Problem Solving using Genetic Optimization Algorithm

Mubarak, AltamimiNehad, Ramaha

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2024
© 2026 ScienceGate Book Chapters — All rights reserved.