We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...
Interest in DNA computing has increased overwhelmly since Adleman successfully demonstrated its capability to solve Hamiltonian Path Problem (HPP). Many research results of similar...
Mohd Saufee Muhammad, Zuwairie Ibrahim, Satomi Ued...
Abstract. In constraint satisfaction, local search is an incomplete method for finding a solution to a problem. Solving a general constraint satisfaction problem (CSP) is known to...
Montserrat Abril, Miguel A. Salido, Federico Barbe...
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In...
Fatos Xhafa, Juan Antonio Gonzalez, Keshav P. Daha...
Fast plan adaptation is important in many AI-applications. From a theoretical point of view, in the worst case adapting an existing plan to solve a new problem is no more efficien...