Munich Personal RePEc Archive
metadata only
Repulsive Particle Swarm Method on Some Difficult Test Problems of Global Optimization
In this paper we test a particular variant of the (Repulsive) Particle Swarm method on some rather difficult global optimization problems. A number of these problems are collected from the extant literature and a few of them are newly introduced. First, we introduce the Particle Swarm method of glob
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Some new test functions for global optimization and performance of repulsive particle swarm method#1275117
- Global Optimization by Particle Swarm Method:A Fortran Program#499929
- Swarm Intelligence#622720
- Swarm Intelligence#618664
- NLINLS: a Differential Evolution based nonlinear least squares Fortran 77 program#1276188
Record · ID 1274637
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive