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IJON
2008
177views more  IJON 2008»
13 years 8 months ago
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem
In this paper, an approach to solving the classical Traveling Salesman Problem (TSP) using a recurrent network of linear threshold (LT) neurons is proposed. It maps the classical ...
Eu Jin Teoh, Kay Chen Tan, H. J. Tang, Cheng Xiang...
EMO
2003
Springer
81views Optimization» more  EMO 2003»
14 years 1 months ago
Solving Hierarchical Optimization Problems Using MOEAs
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Christian Haubelt, Sanaz Mostaghim, Jürgen Te...
IPPS
1998
IEEE
14 years 29 days ago
Solving the Maximum Clique Problem Using PUBB
Given an (undirected) graph G = V; E; a clique of G is a subset of vertices in which every pair is connected by an edge. The problem of finding a clique of maximum size is a class...
Yuji Shinano, Tetsuya Fujie, Yoshiko Ikebe, Ryuich...
KBS
2006
87views more  KBS 2006»
13 years 8 months ago
Predictive and comprehensible rule discovery using a multi-objective genetic algorithm
We present a multi-objective genetic algorithm for mining highly predictive and comprehensible classification rules from large databases. We emphasize predictive accuracy and comp...
Satchidananda Dehuri, Rajib Mall
ENGL
2006
170views more  ENGL 2006»
13 years 8 months ago
Hybrid Genetic Algorithms: A Review
Hybrid genetic algorithms have received significant interest in recent years and are being increasingly used to solve real-world problems. A genetic algorithm is able to incorporat...
Tarek A. El-Mihoub, Adrian A. Hopgood, Lars Nolle,...