DocumentCode
463405
Title
Performance Profile of a Hybrid Heuristic Search Technique Using Graph Coloring as a Seed Example
Author
Pal, Anindya J. ; Sarma, Samar S. ; Ray, Biman
Author_Institution
Heritage Inst. of Technol., Kolkata
Volume
1
fYear
2006
fDate
17-19 July 2006
Firstpage
640
Lastpage
645
Abstract
Design and analysis of new algorithms are ever going phenomena in life of computer scientists. NP problems are attracting designers to design both heuristic and approximate algorithms that can result in better optimal and time-space efficient algorithms. Here, we have designed a memetic algorithm (also known as metaheuristic or hybrid heuristic), for optimal vertex coloring of a simple, symmetric and connected graph. Other than various uses, the problem has a perfume of efficient algorithm design in large-scale test graph. The earlier works, though encouraging, could not draw a conclusion that is deterministic. This paper is an essay towards further information in this area. Our work is progressing, but we don´t know whether better players are needed for final bet through in this particular algorithm design
Keywords
approximation theory; computational complexity; graph colouring; search problems; NP problems; approximate algorithm; graph coloring; hybrid heuristic algorithm; hybrid heuristic searching; memetic algorithm; metaheuristic algorithm; vertex coloring; Algorithm design and analysis; Circuit testing; Educational institutions; Heuristic algorithms; Job shop scheduling; Large-scale systems; Performance analysis; Processor scheduling; Registers; Simulated annealing; GA; NP; memetic algorithm; metaheuristic; vertex coloring;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
1-4244-0475-4
Type
conf
DOI
10.1109/COGINF.2006.365560
Filename
4216477
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