Comprehensive analysis of Adaptive PSO vs Standard PSO on CEC2017 benchmarks. APSO demonstrates 15-40% better solution quality and 20-60% faster convergence across 30 test functions (10-100 dimensions). Foundation for real-world optimization applications.
Six PSO algorithms for constrained optimization benchmarked on CEC2017 (C01–C28, D=10 and 30) under the official protocol. Includes the proposed DMSE-PSO, full code, results and statistical analysis.
Official implementation of PSGO for global optimization and engineering design problems.
Add a description, image, and links to the cec2017-benchmark topic page so that developers can more easily learn about it.
To associate your repository with the cec2017-benchmark topic, visit your repo's landing page and select "manage topics."