HeurEAKA - A new approach for adapting GAs to the problem domain

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3157, Issue , 2004, Pages 361-372

  Bekmann, J P ^a,b   Hoffmann, Achim ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; GENETIC ALGORITHMS; HEURISTIC METHODS; KNOWLEDGE BASED SYSTEMS; ROUTERS; VLSI CIRCUITS; ARTIFICIAL INTELLIGENCE; KNOWLEDGE ACQUISITION;

COMBINATORIAL PROBLEMS; CONSTRAINT SATISFACTION PROBLEMS (CSP); MUTATION; SEARCH PROBLEMS; BENCH-MARK PROBLEMS; COMBINATORIAL PROBLEM; FITNESS FUNCTIONS; HEURISTIC PROBLEMS; INCREMENTAL KNOWLEDGE ACQUISITION; INDUSTRIAL ALGORITHMS; MUTATION OPERATORS; RIPPLE DOWN RULES;

PROBLEM SOLVING;

EID: 22944489554     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-28633-2_39     Document Type: Conference Paper

References (11)

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4. Holland, J.: Adaptation in Natural and Artificial Systems. University of Michigan Press. (1975)
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9. Liu, X.: Combining genetic algorithm and casebased reasoning for structure design (1996)
10. Lengauer, T.: Combinational Algorithms for Integrated Circuit Layout. B.G. Teubner/John Wiley & Sons (1990)
11. Lienig, J., Thulasiraman, K.: A new genetic algorithm for the channel routing problem, In: 7th International Conference on VLSI Design, Calcutta (1994) 133-136