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A novel quantum inspired cuckoo search for knapsack problems
Author(s) -
Abdesslem Layeb
Publication year - 2011
Publication title -
international journal of bio-inspired computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.411
H-Index - 38
eISSN - 1758-0374
pISSN - 1758-0366
DOI - 10.1504/ijbic.2011.042260
Subject(s) - cuckoo search , knapsack problem , computer science , quantum computer , qubit , continuous knapsack problem , representation (politics) , theoretical computer science , superposition principle , quantum , algorithm , mathematics , physics , quantum mechanics , particle swarm optimization , mathematical analysis , politics , political science , law
This paper presents a new inspired algorithm called quantum inspired cuckoo search algorithm (QICSA). This one is a new framework relying on quantum computing principles and cuckoo search algorithm. The contribution consists in defining an appropriate representation scheme in the cuckoo search algorithm that allows applying successfully on combinatorial optimisation problems some quantum computing principles like qubit representation, superposition of states, measurement, and interference. This hybridisation between quantum inspired computing and bioinspired computing has led to an efficient hybrid framework which achieves better balance between exploration and exploitation capabilities of the search process. Experiments on knapsack problems show the effectiveness of the proposed framework and its ability to achieve good quality solutions.

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