Matches in SemOpenAlex for { <https://semopenalex.org/work/W77117160> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W77117160 abstract "In this project we have to apply the particle swarm optimization algorithm to job shop scheduling problem. Job shop scheduling is a combinatorial optimization problem where we have to arrange the jobs which may or may not be processed in every machine in a particular sequence and each machine has a different sequence of jobs. Job shop scheduling is a complex extended version of flow shop scheduling which is a problem where each job is processed through each and every machine and each machine has a same sequence of jobs. Our main objective in both kind of problem is to arrange the jobs in a sequence which gives minimum value of make span. PSO (Particle swarm optimization) helps us to find a combination of job sequence which has the least make span. In PSO a swarm of particles which have definite position and velocity for each job. In PSO, to find the combinations we use a heuristic rule called Smallest Position Value (SPV). According to smallest position value rule jobs are arranged in ascending order of their positions i.e. job having least position value is put first in sequence. In this project PSO is first applied to flow shop scheduling problem. This is done to understand how PSO algorithm can be applied to scheduling problem as flow shop scheduling problem is a simple problem. After Understanding the PSO algorithm, the algorithm is extended to apply in job shop scheduling problem for n jobs and m machines." @default.
- W77117160 created "2016-06-24" @default.
- W77117160 creator A5032366556 @default.
- W77117160 creator A5082418046 @default.
- W77117160 date "2007-01-01" @default.
- W77117160 modified "2023-09-27" @default.
- W77117160 title "Particle swarm optimization applied to job shop scheduling" @default.
- W77117160 hasPublicationYear "2007" @default.
- W77117160 type Work @default.
- W77117160 sameAs 77117160 @default.
- W77117160 citedByCount "0" @default.
- W77117160 crossrefType "dissertation" @default.
- W77117160 hasAuthorship W77117160A5032366556 @default.
- W77117160 hasAuthorship W77117160A5082418046 @default.
- W77117160 hasConcept C107568181 @default.
- W77117160 hasConcept C111919701 @default.
- W77117160 hasConcept C11413529 @default.
- W77117160 hasConcept C126255220 @default.
- W77117160 hasConcept C158336966 @default.
- W77117160 hasConcept C181335050 @default.
- W77117160 hasConcept C206729178 @default.
- W77117160 hasConcept C2776484797 @default.
- W77117160 hasConcept C2777243215 @default.
- W77117160 hasConcept C33923547 @default.
- W77117160 hasConcept C41008148 @default.
- W77117160 hasConcept C55416958 @default.
- W77117160 hasConcept C68387754 @default.
- W77117160 hasConcept C85617194 @default.
- W77117160 hasConceptScore W77117160C107568181 @default.
- W77117160 hasConceptScore W77117160C111919701 @default.
- W77117160 hasConceptScore W77117160C11413529 @default.
- W77117160 hasConceptScore W77117160C126255220 @default.
- W77117160 hasConceptScore W77117160C158336966 @default.
- W77117160 hasConceptScore W77117160C181335050 @default.
- W77117160 hasConceptScore W77117160C206729178 @default.
- W77117160 hasConceptScore W77117160C2776484797 @default.
- W77117160 hasConceptScore W77117160C2777243215 @default.
- W77117160 hasConceptScore W77117160C33923547 @default.
- W77117160 hasConceptScore W77117160C41008148 @default.
- W77117160 hasConceptScore W77117160C55416958 @default.
- W77117160 hasConceptScore W77117160C68387754 @default.
- W77117160 hasConceptScore W77117160C85617194 @default.
- W77117160 hasLocation W771171601 @default.
- W77117160 hasOpenAccess W77117160 @default.
- W77117160 hasPrimaryLocation W771171601 @default.
- W77117160 hasRelatedWork W147969636 @default.
- W77117160 hasRelatedWork W1985413383 @default.
- W77117160 hasRelatedWork W1997657969 @default.
- W77117160 hasRelatedWork W2026155461 @default.
- W77117160 hasRelatedWork W2125650261 @default.
- W77117160 hasRelatedWork W2134247150 @default.
- W77117160 hasRelatedWork W2157128267 @default.
- W77117160 hasRelatedWork W2165167287 @default.
- W77117160 hasRelatedWork W2334840989 @default.
- W77117160 hasRelatedWork W2357064005 @default.
- W77117160 hasRelatedWork W2371006166 @default.
- W77117160 hasRelatedWork W2463117989 @default.
- W77117160 hasRelatedWork W2549186874 @default.
- W77117160 hasRelatedWork W2551064756 @default.
- W77117160 hasRelatedWork W2590710266 @default.
- W77117160 hasRelatedWork W2612484291 @default.
- W77117160 hasRelatedWork W2942521993 @default.
- W77117160 hasRelatedWork W2945297803 @default.
- W77117160 hasRelatedWork W2980905600 @default.
- W77117160 hasRelatedWork W2583027702 @default.
- W77117160 isParatext "false" @default.
- W77117160 isRetracted "false" @default.
- W77117160 magId "77117160" @default.
- W77117160 workType "dissertation" @default.