The RQEA is applied to a series of numerical optimization problems. The experiments show that the results obtained by the RQEA are better than those obtained ...
The RQEA is applied to a series of numerical optimization problems. The experiments show that the results obtained by the RQEA are better than those obtained ...
Oct 22, 2024 · This work presents the region-based quantum evolutionary algorithm (RQEA) for solving numerical optimization problems.
A novel adaptive collaborative quantum-inspired evolutionary algorithm (ACQEA) is proposed by combining the collaborative evolution and adaptive mutation ...
This work presents the region-based quantum evolutionary algorithm (RQEA) for solving numerical optimization problems. In the proposed algorithm, ...
Nov 21, 2024 · This chapter proposes a novel EA for numerical optimization inspired by the multiple universes principle of quantum computing that presents ...
Feb 1, 2024 · This work presents the region-based quantum evolutionary algorithm (RQEA) for solving numerical optimization problems.
This work presents the region-based quantum evolutionary algorithm (RQEA) for solving numerical optimization problems. In the proposed algorithm, the feasible ...
A Region Reproduction Algorithm for global numerical optimization ...
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This paper introduces a novel numerical stochastic optimization algorithm called Region Reproduction Algorithm (RRA) to solve global numerical optimization ...
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For example: Lu and Juang [42] presented a region-based quantum evolutionary algorithm (RQEA) for solving numerical optimization problems, and they [43] also ...