Pages that link to "Item:Q2518432"
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The following pages link to Genetic algorithm integrated with artificial chromosomes for multi-objective flowshop scheduling problems (Q2518432):
Displaying 10 items.
- A high performing metaheuristic for multi-objective flowshop scheduling problem (Q337199) (← links)
- A united search particle swarm optimization algorithm for multiobjective scheduling problem (Q611608) (← links)
- Generating artificial chromosomes with probability control in genetic algorithm for machine scheduling problems (Q613776) (← links)
- Multiple parents crossover operators: a new approach removes the overlapping solutions for sequencing problems (Q727261) (← links)
- Effects of different chromosome representations in developing genetic algorithms to solve DFJS scheduling problems (Q1652198) (← links)
- A new vision of approximate methods for the permutation flowshop to minimise makespan: state-of-the-art and computational evaluation (Q1752855) (← links)
- A self-guided genetic algorithm for permutation flowshop scheduling problems (Q1762134) (← links)
- A hybrid genetic-immune algorithm with improved lifespan and elite antigen for flow-shop scheduling problems (Q2967585) (← links)
- Scheduling of Flow-Shop, Job-Shop, and Combined Scheduling Problems using MOEAs with Fixed and Variable Length Chromosomes (Q3053956) (← links)
- Evolutionary Multi-Criterion Optimization (Q5709945) (← links)
