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FLAIRS
2010
14 years 7 months ago
Decision-Theoretic Simulated Annealing
The choice of a good annealing schedule is necessary for good performance of simulated annealing for combinatorial optimization problems. In this paper, we pose the simulated anne...
Todd W. Neller, Christopher J. La Pilla
DISOPT
2010
138views more  DISOPT 2010»
14 years 9 months ago
The Delivery Man Problem with time windows
In this paper, a variant of the Traveling Salesman Problem with Time Windows is considered, which consists in minimizing the sum of travel durations between a depot and several cu...
Géraldine Heilporn, Jean-François Co...
77
Voted
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
15 years 3 months ago
Solving geometric TSP with ants
This paper presents an ant-based approach for solving the Traveling Salesman Problem (TSP). Novel concepts of this algorithm that distinguish it from the other heuristics are the ...
Thang Nguyen Bui, Mufit Colpan
88
Voted
CEC
2003
IEEE
15 years 2 months ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...
AAAI
2000
14 years 11 months ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang