Forthcoming and Online First Articles

International Journal of Swarm Intelligence

International Journal of Swarm Intelligence (IJSI)

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International Journal of Swarm Intelligence (1 paper in press)

Regular Issues

  • A review of 0-1 knapsack problem by nature-inspired optimisation algorithms   Order a copy of this article
    by Ruchi Chauhan, Nirmala Sharma, Harish Sharma 
    Abstract: Nature is the origin of all the knowledge. Researches have built nature-inspired optimisation (NIO) algorithms, that follow natural principles to find solutions, for the real life problems. In the binary knapsack problem (0/1KP), a bag (or a knapsack) has to be filled with articles, where each article has a weight and a profit value, the articles are filled in the knapsack, in whole numbers, up to a weight limit, to attain the optimum profit. The 0/1KP does the optimum sub-structure selection from a given set of articles, i.e., there can be different optimum solutions for a given 0/1KP. The aim of this research is to discuss the NIO algorithms innovated for solving the 0/1KP. The review creates foundation, for future research on optimising the 0/1KP, from meta-heuristic NIO techniques.
    Keywords: nature-inspired optimisation; NIO; 0-1 knapsack problem; 0/1KP; NP-hard problems; swarm intelligence.
    DOI: 10.1504/IJSI.2022.10051132
     

 

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