工工系博士班專題演講公告

Special Topics I

Ant Colony Optimization: Its Foraging Behavior in Optimization

Speaker：Yun-Chia , Liang Professor (Yuan Ze University)

Host：Chien-Wei Wu Professor、Chung-Shou Liao  Professor

Date：2013/11/14

Time：14:20~16:20

Location：Engineering Building I , R901

Abstract：

Ant Colony Optimization (ACO), inspired by the behavior of real ants, is considered one of

the most successful algorithms in Swarm Intelligence (SI). Early applications of ACO have

solved combinatorial optimization problems such as Traveling Salesman Problem (TSP),

Quadratic Assignment Problem (QAP), and Vehicle Routing Problem (VRP).

Furthermore, recent applications have introduced ACO to the problems with continuous

domain. In this seminar, Dr. Liang will share his research experience of ACO on

both continuous and combinatorial problems. The application examples include the

orienteering problem, redundancy allocation problem, on-line scheduling problem, and curve fitting problem.

~Welcome~