Abstract
The capacitated lot sizing problem (CLSP) arises when, under capacity constraints, the decision maker has to determine the production schedule and lot sizes that will minimize the total costs involved. The costs considered are order, inventory carrying and labor costs. The chromosomes are partitioned into good and poor segments based on the individual product chromosomes. This information is later used during crossover operation and may lead to crossover among multiple chromosomes. The results of the experimentation show that the proposed approach found the best solution with very high frequency when number of generations were high and also when high mutation and crossover probabilities were chosen.
Original language | English |
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Pages | 281-286 |
Number of pages | 6 |
State | Published - 2002 |
Event | Proceedings of the Artificial Neutral Networks in Engineering Conference:Smart Engineering System Design - St. Louis, MO, United States Duration: Nov 10 2002 → Nov 13 2002 |
Conference
Conference | Proceedings of the Artificial Neutral Networks in Engineering Conference:Smart Engineering System Design |
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Country/Territory | United States |
City | St. Louis, MO |
Period | 11/10/02 → 11/13/02 |
ASJC Scopus subject areas
- Software