Quantum Evolutionary Algorithm in MATLAB Environment with Advanced Quantum Rotation Gates
Implementation and application of quantum evolutionary algorithms using advanced quantum rotation gates within the MATLAB computational environment
Explore MATLAB source code curated for "量子进化算法" with clean implementations, documentation, and examples.
Implementation and application of quantum evolutionary algorithms using advanced quantum rotation gates within the MATLAB computational environment
Comprehensive source code for quantum information science applications and quantum evolutionary algorithms, including detailed implementations of quantum states, complete with extensive documentation and practical usage examples
Quantum-Inspired Evolutionary Algorithm (QEA), gaining significant popularity over the past two years for solving general optimization problems, with a implementation example focusing on the classic knapsack problem (discrete binary optimization).