Genetic local search in an automated contracting environment
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...
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2003
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oai:animorepository.dlsu.edu.ph:faculty_research-14532021-12-13T08:45:58Z Genetic local search in an automated contracting environment Alvarez, Ma. Fe R. Bulos, Remedios De Dios 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. 2003-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/454 Faculty Research Work Animo Repository Letting of contracts—Evaluation—Automation Computer Sciences |
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Asia |
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Philippines Philippines |
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DLSU Institutional Repository |
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Letting of contracts—Evaluation—Automation Computer Sciences |
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Letting of contracts—Evaluation—Automation Computer Sciences Alvarez, Ma. Fe R. Bulos, Remedios De Dios Genetic local search in an automated contracting environment |
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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. |
| format |
text |
| author |
Alvarez, Ma. Fe R. Bulos, Remedios De Dios |
| author_facet |
Alvarez, Ma. Fe R. Bulos, Remedios De Dios |
| author_sort |
Alvarez, Ma. Fe R. |
| title |
Genetic local search in an automated contracting environment |
| title_short |
Genetic local search in an automated contracting environment |
| title_full |
Genetic local search in an automated contracting environment |
| title_fullStr |
Genetic local search in an automated contracting environment |
| title_full_unstemmed |
Genetic local search in an automated contracting environment |
| title_sort |
genetic local search in an automated contracting environment |
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Animo Repository |
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2003 |
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https://animorepository.dlsu.edu.ph/faculty_research/454 |
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