Quantum-inspired evolutionary algorithms: a survey and empirical study

DOI10.1007/s10732-010-9136-0zbMath1214.68378OpenAlexW2058979950MaRDI QIDQ544816

Gexiang Zhang

Publication date: 16 June 2011

Published in: Journal of Heuristics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10732-010-9136-0

zbMATH Keywords

optimizationquantum computingevolutionary computationquantum-inspired evolutionary algorithm

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Quantum computation (81P68) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (14)

Evolutionary Design of a Simple Membrane System ⋮ Quantum inspired evolutionary algorithm for community detection in complex networks ⋮ A novel distributed quantum-behaved particle swarm optimization ⋮ Multi-learning rate optimization spiking neural P systems for solving the discrete optimization problems ⋮ Migration strategy in distributed adaptive optimization spiking neural P systems ⋮ A distributed adaptive optimization spiking neural P system for approximately solving combinatorial optimization problems ⋮ Bio-inspired optimization of sustainable energy systems: a review ⋮ Quantum genetic algorithm based on qutrits and its application ⋮ Quantum genetic algorithm on multilevel quantum systems ⋮ A quantum genetic algorithm with quantum crossover and mutation operations ⋮ A survey of quantum-like approaches to decision making and cognition ⋮ Modeling of biological intelligence for SCM system optimization ⋮ Solving the 0-1 quadratic knapsack problem with a competitive quantum inspired evolutionary algorithm ⋮ A membrane algorithm with quantum-inspired subalgorithms and its application to image processing

Uses Software

• SPEA2
• Balibase
• MCDMlib
• AR face
• CEC 05

Cites Work

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• A MULTI-OBJECTIVE HW–SW CO-SYNTHESIS ALGORITHM BASED ON QUANTUM-INSPIRED EVOLUTIONARY ALGORITHM
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• Discovery Science
• QUANTUM GENETIC ALGORITHM METHOD IN SELF-CONSISTENT ELECTRONIC STRUCTURE CALCULATIONS OF A QUANTUM DOT WITH MANY ELECTRONS
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