Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise
Computers and Operations Research
GA-Based resource-constrained project scheduling with the objective of minimizing activities' cost
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Partner selection is an important problem in supply chain management. The renewable resources suppliers are the most immediate partners for contractor in construction supply chain and their capacity will form constraints to project scheduling. The mathematical model for selecting these suppliers in construction projects is proposed and the principle to reduce the solution space is discussed. Following that, a schema with a hybrid genetic algorithm(GA) to solve the problems is designed wherein chromosome is composed of two parts: one represents partner selection, the other is an activities chain with precedence relationship, and different genetic operators are set on them respectively. Finally, an example is given to show the effectiveness of the algorithm.