A new indicator-based many-objective ant colony optimizer for continuous search spaces
Author:
Funder
Consejo Nacional de Ciencia y Tecnología
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s11721-017-0133-x.pdf
Reference57 articles.
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2. Angus, D. (2007b). Population-based ant colony optimisation for multi-objective function optimisation. In M. Randall, H. A. Abbass, & J. Wiles (Eds.), Progress in artificial life, third australian conference (ACAL’2007), lecture notes in computer science (vol. 4828, pp. 232–244). Gold Coast: Springer.
3. Angus, D., & Woodward, C. (2009). Multiple objective ant colony optimisation. Swarm Intelligence, 3(1), 69–85.
4. Anton, H. (2010). Elementary linear algebra. New York: Wiley.
5. Applegate, D. L., Bixby, R. E., Chvatal, V., & Cook, W. J. (2007). The traveling salesman problem: A computational study. Princeton series in applied mathematics. Princeton, NJ: Princeton University Press.
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