Ant Colony Optimization and Water Optimazition Algorithm
| Author(s) | : | Digvijaysinh Mahida, Keyur Patel, Dipak Agrawal |
| Institution | : | Assistant Professor, Information Technology, Sigma Institute of Engineering |
| Published In | : | Vol. 4, Issue 13 — January 2017 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In resent the most emerging trend is evolution computing, evolutionary computation is a family of algorithms for globaloptimization inspired by biological evolution, and the subfield of artificial intelligence and soft computing studying these algorithms.In technical terms, they are a family of population-based trial and error problem solvers with a metaheuristic or stochasticoptimization character. Two methodologies are there to find shortest path one is ant colony optimization and another is wateroptimization algorithm. it also fix no of problem in real life are Scheduling problem, Vehicle routing problem, Assignment problem,Set problem, Device sizing problem in Nano electronics physical design, Image processing and TSP (Traveling sales man problem)
Digvijaysinh Mahida, Keyur Patel, Dipak Agrawal, “Ant Colony Optimization and Water Optimazition Algorithm”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 13, pp. -, January 2017.
