Pages that link to "Item:Q1806648"
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The following pages link to Some new results on simulated annealing applied to the job shop scheduling problem (Q1806648):
Displaying 46 items.
- A hybrid evolutionary algorithm to solve the job shop scheduling problem (Q324301) (← links)
- Corrigendum to ``A simulated annealing algorithm based on block properties for the job shop scheduling problem with total weighted tardiness objective'' (Q336632) (← links)
- A novel non-linear approach to minimal area rectangular packing (Q610981) (← links)
- A simulated annealing algorithm based on block properties for the job shop scheduling problem with total weighted tardiness objective (Q614062) (← links)
- Multi-population interactive coevolutionary algorithm for flexible job shop scheduling problems (Q626658) (← links)
- An agent-based parallel approach for the job shop scheduling problem with genetic algorithms (Q630749) (← links)
- Double layer ACO algorithm for the multi-objective FJSSP (Q732169) (← links)
- A comparative study of a new heuristic based on adaptive memory programming and simulated annealing: the case of job shop scheduling (Q857328) (← links)
- An effective architecture for learning and evolving flexible job-shop schedules (Q858446) (← links)
- Scheduling the truckload operations in automatic warehouses (Q863986) (← links)
- Learning to recognize (un)promising simulated annealing runs: Efficient search procedures for job shop scheduling and vehicle routing (Q1379745) (← links)
- The development of genetic algorithms for the finite capacity scheduling of complex products, with multiple levels of product structure. (Q1410335) (← links)
- An experimental analysis of local minima to improve neighbourhood search. (Q1422374) (← links)
- Scheduling multipurpose batch process industries with no-wait restrictions by simulated annealing (Q1584823) (← links)
- Two simulated annealing-based heuristics for the job shop scheduling problem (Q1806614) (← links)
- Deterministic job-shop scheduling: Past, present and future (Q1807948) (← links)
- A knowledge-based evolutionary strategy for scheduling problems with bottlenecks (Q1869426) (← links)
- A novel threshold accepting meta-heuristic for the job-shop scheduling problem (Q1885997) (← links)
- Adaptive temperature control for simulated annealing: a comparative study (Q1886508) (← links)
- Parallel machine scheduling models with fuzzy processing times (Q1886763) (← links)
- A simulated-annealing heuristic for shift scheduling using non-continuously available employees (Q1919204) (← links)
- Focused simulated annealing search: An application to job shop scheduling (Q1919835) (← links)
- Simplifying dispatching rules in genetic programming for dynamic job shop scheduling (Q2163788) (← links)
- A sequencing approach for creating new train timetables (Q2267382) (← links)
- A very fast TS/SA algorithm for the job shop scheduling problem (Q2384605) (← links)
- Simulated annealing and genetic algorithms for minimizing mean flow time in an open shop (Q2389828) (← links)
- Stochastic algorithms in scheduling theory (Diss., TU Berlin) (Q2726304) (← links)
- Neighbourhood generation mechanism applied in simulated annealing to job shop scheduling problems (Q2792203) (← links)
- Analysing stability and investments in railway networks using advanced evolutionary algorithms (Q3158002) (← links)
- Hybrid simulated annealing with memory: an evolution-based diversification approach (Q3163188) (← links)
- A revised simulated annealing algorithm for obtaining the minimum total tardiness in job shop scheduling problems (Q3366367) (← links)
- Solving large-scale uncapacitated facility location problems with evolutionary simulated annealing (Q3430250) (← links)
- Multiple colony ant algorithm for job-shop scheduling problem (Q3518511) (← links)
- A PARTICLE SWARM OPTIMIZATION-BASED ALGORITHM FOR JOB-SHOP SCHEDULING PROBLEMS (Q3573666) (← links)
- SOLVING A MULTI-OBJECTIVE FLEXIBLE JOB SHOP SCHEDULING PROBLEM WITH TIMED PETRI NETS AND GENETIC ALGORITHM (Q3575380) (← links)
- Job Shop Scheduling by Simulated Annealing (Q3991326) (← links)
- A Computational Study of Local Search Algorithms for Job Shop Scheduling (Q4302714) (← links)
- A multi-echelon integrated JIT inventory model using the time buffer and emergency borrowing policies to deal with random delivery lead times (Q4474667) (← links)
- An efficient configuration generation mechanism to solve job shop scheduling problems by the simulated annealing algorithm (Q4546893) (← links)
- A priority list based heuristic for the job shop problem (Q4661108) (← links)
- Artificial Intelligence and Soft Computing - ICAISC 2004 (Q4666243) (← links)
- Minimizing <i>L</i> <sub>max</sub> for large-scale, job-shop scheduling problems (Q4671351) (← links)
- A simulated annealing approach to the cyclic staff-scheduling problem (Q4695782) (← links)
- A new hybrid parallel genetic algorithm for the job‐shop scheduling problem (Q4980005) (← links)
- Evolutionary Computation in Combinatorial Optimization (Q5706018) (← links)
- Algorithmical approaches to business process design (Q5955965) (← links)
