Quantum Inspired Evolutionary Algorithms (QIEAs), a subclass of Evolutionary algorithms, have been shown to be effective in solving difficult problems particularly NP-hard combinatorial optimization problems.

Solution of MKP involves two levels of choice – one for selecting an item to be placed and the other for selecting the knapsack in which it is to be placed.

A set of carefully selected features have been incorporated in proposed GQIEA-MKP to obtain better solutions in lesser time to overcome the overhead of ...

A hybrid QIEA is presented for multiple knapsack problem which incorporates several features for better balance between exploration and exploitation. The ...

A hybrid QIEA is presented for multiple knapsack problem which incorporates several features for better balance between exploration and exploitation. The ...

Mar 18, 2015 · The Quantum Differential Evolution algorithm was applied to the knapsack problem in [30], combinatorial problems [3] , and image threshold ...

An improved quantum-inspired evolutionary algorithm (PEZIEA) is proposed to solve knapsack problems and the parameters in PEQIEA, which affect the accuracy ...

Combinatorial Optimization, Hybrid Evolutionary Algorithm, Multiple Knapsack Problem, Quantum Inspired. Evolutionary Algorithm. Page 2. International Journal ...

This work presents an improved parallel QIEA, IQIEA-P. The structure and features are applied to improve its capability to exploit and explore the solution ...

A hybrid QIEA is presented for multiple knapsack problem which incorporates several features for better balance between exploration and exploitation. The ...