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NCA
2008
IEEE
13 years 7 months ago
Neurodynamic programming: a case study of the traveling salesman problem
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong ...
NCA
2007
IEEE
13 years 7 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
IJAIT
2002
81views more  IJAIT 2002»
13 years 7 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos
ICC
2009
IEEE
157views Communications» more  ICC 2009»
14 years 2 months ago
Optimal Relay Assignment and Power Allocation in Selection Based Cooperative Cellular Networks
—We consider a system with a single base station communicating with multiple users over orthogonal channels while being assisted by multiple relays. Several recent works have sug...
Sachin Kadloor, Raviraj Adve
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 1 months ago
A hybrid evolutionary programming algorithm for spread spectrum radar polyphase codes design
This paper presents a hybrid evolutionary programming algorithm to solve the spread spectrum radar polyphase code design problem. The proposed algorithm uses an Evolutionary Progr...
Ángel M. Pérez-Bellido, Sancho Salce...