Truth revelation in approximately efficient combinatorial auctions
Proceedings of the 1st ACM conference on Electronic commerce
Theoretical Computer Science
A Genetic Algorithm for the Multidimensional Knapsack Problem
Journal of Heuristics
Where are the hard knapsack problems?
Computers and Operations Research
Journal of Global Optimization
A New Quantum Evolutionary Local Search Algorithm for MAX 3-SAT Problem
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Self-adaptive harmony search algorithm for optimization
Expert Systems with Applications: An International Journal
Firefly algorithms for multimodal optimization
SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
A novel global harmony search algorithm for task assignment problem
Journal of Systems and Software
Review Article: Solving 0-1 knapsack problem by a novel global harmony search algorithm
Applied Soft Computing
A novel quantum inspired cuckoo search for knapsack problems
International Journal of Bio-Inspired Computation
Apply the particle swarm optimization to the multidimensional knapsack problem
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Solving 0-1 knapsack problems by a discrete binary version of cuckoo search algorithm
International Journal of Bio-Inspired Computation
International Journal of Cognitive Informatics and Natural Intelligence
Hi-index | 7.29 |
This paper presents a new hybrid natural algorithm based on Harmony Search Algorithm (HSA) and Quantum Computing (QC). The main features of the proposed algorithm called Quantum Inspired Harmony Search Algorithm (QIHSA) is the integration of quantum representation scheme in the basic harmony search algorithm that allows applying successfully some quantum inspired operators like measurement and interference. This hybridization between quantum inspired computing and harmony search algorithm has led to an efficient hybrid framework which achieves better balance between the exploration of HS algorithm and the exploitation capabilities of the quantum inspired computing. Experiments on knapsack problems show the effectiveness of the proposed framework and its ability to achieve good quality solutions.