Genetic local search in an automated contracting environment
College
College of Computer Studies
Department/Unit
Software Technology
Document Type
Conference Proceeding
Source Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
2738
First Page
125
Last Page
134
Publication Date
1-1-2003
Abstract
In automated contracting, bid evaluation is a complex process because the task of finding the optimal set of bids requires the consideration of several factors such as time constraints, risk estimates and price. There have been attempts in the recent past (such as the use of simulated-annealing) to solve the bid evaluation problem in an automated contracting environment. This research endeavors to offer a better alternative to the solution of the bid evaluation problem by adopting the genetic local search (GLS) method. © Springer-Verlag Berlin Heidelberg 2003.
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Recommended Citation
Alvarez, M. R., & Bulos, R. D. (2003). Genetic local search in an automated contracting environment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2738, 125-134. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/454
Disciplines
Computer Sciences
Keywords
Letting of contracts—Evaluation—Automation
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