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Can I read Autocorrelation Coefficient for the Graph Bipartitioning Problem on EtoBox?
Autocorrelation Coefficient for the Graph Bipartitioning Problem by E. Angel; V. Zissimopoulos is a Computer Science article available to read on EtoBox.
What is Autocorrelation Coefficient for the Graph Bipartitioning Problem about?
Local search and its variants simulated annealing and tabu search are widely used heuristics to approximately solve NP-hard optimization problems. To use local search one "simply" has to specify a neighborhood structure and a cost function which has to be optimized. However, from a theoretical point of view, many questions remain unanswered, and one of the most important is: which neighborhood structure will provide the best quality solutions? The aim of this paper is to theoretically justify some results previously reported by Johnson et al. (1989Johnson et al. ( , 1991) ) in their extended empirical study concerning simulated annealing and the graph bipartitioning problem, and to sharply tune the best landscape among the two reported in that study. Experimental results perfectly agree with the theoretical predictions.
Who reads Autocorrelation Coefficient for the Graph Bipartitioning Problem?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- E. Angel; V. Zissimopoulos
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0304-3975)
- Published
- 1998
- Language
- EN
- Field
- Computer Science (Physical Sciences)