Summary |
|---|
| Framework | The Mini-Swarm System |
| Algorithm | Particle Swarm Optimization (PSO); Differential Evolution (DE); DEPSO; Social Cognitive Optimization (SCO) |
| Problem | Numerical Optimization Problem (NOP); Traveling Saleman Problem (TSP); Quadratic Knapsack Problem (QKP) |
| Softwares |
|---|
| name | type* | description |
|---|---|---|
| SCO | SRC | (JAVA) social cognitive optimization (SCO) for constrained numerical optimization [DOC] | DPSO | SRC | (C) A Dissipative Particle Swarm Optimization for solving numerical optimization problem (NOP). [DOC] |
| DEPSO | SRC | (JAVA) Hybrid Particle Swarm Optimization (PSO) with Differential Evolution (DE) [DOC] for solving (constrained) numerical optimization, including periodic boundary handling method [DOC] & adaptive relaxing rule for equality constraints [DOC]. It is also a component of Swarm Algorithm Framework (SWAF). |
| MAOS_TSP | SRC |
JAVA, Mini-Swarm System for solving Traveling Saleman Problem (TSP) in TSPLIB format # It has found a solution for the open instance FDP3256 in the VLSI Data Sets. [DOC] |
| MAOS_QKP | SRC |
JAVA, Mini-Swarm System for solving Quadratic Knapsack Problem (QKP) in B&E format [DOC] |
| MAOS_QAP | BIN |
JAVA, Mini-Swarm System for solving Quadratic Assignment Problem (QAP) in QAPLIB format |
| MAOS_FSP | BIN |
JAVA, Mini-Swarm System for solving Flowshop Scheduling Problem (FSP) in OR-Lib format |