AbstractIn this paper we deal with the heuristic solution of the classical job shop problem. Both the constructive and the iterative phase of our algorithm apply insertion techniques combined with beam search. In the first phase we successively insert the operations into feasible partial schedules. In the iterative phase we generate paths in a particular neighbourhood graph instead of investigating the neighbourhood completely. To select “interesting” neighbours, we use the combinatorial path structure of feasible solutions of the job shop problem. The results of our algorithm are compared with those from other well-known methods on benchmark problems
The no-wait job shop problem (NWJS-R) considered here is a version of the job shop scheduling proble...
Beam Search is a heuristic method for solving optimization problems. It is an adaptation of the bran...
This paper presents a meta-heuristic algorithm for solving a job shop scheduling problem involving b...
Constructive heuristics for shop scheduling problems are often based on priority (or dispatching) ru...
AbstractThis note deals with the job insertion problem in job-shop scheduling: Given a feasible sche...
Two methods of obtaining approximate solutions to the classic General Job-shop Scheduling Program ...
Abstract The meta-heuristic algorithm with local search is an excellent choice for the job-shop sche...
The no-wait job shop (NWJS) considered here is a version of the job shop scheduling problem where, f...
This paper presents three techniques for using an iter-ated local search algorithm to improve the pe...
This paper tackles a complex version of the Job Shop Scheduling Problem (JSSP) that involves both th...
Abstract. This paper deals with the makespan minimization problem of job shops. The problem is known...
The Multi-Processor-Task Job Shop is an extension of the Job Shop problem where an operation of a jo...
No abstract availableThis paper presents a heuristic algorithm for solving a jobshop scheduling prob...
A synergetic combination of small and large neighborhood schemes in developing an effective procedur...
Rapid globalization over the past few years is leading to intense competition among manufacturers th...
The no-wait job shop problem (NWJS-R) considered here is a version of the job shop scheduling proble...
Beam Search is a heuristic method for solving optimization problems. It is an adaptation of the bran...
This paper presents a meta-heuristic algorithm for solving a job shop scheduling problem involving b...
Constructive heuristics for shop scheduling problems are often based on priority (or dispatching) ru...
AbstractThis note deals with the job insertion problem in job-shop scheduling: Given a feasible sche...
Two methods of obtaining approximate solutions to the classic General Job-shop Scheduling Program ...
Abstract The meta-heuristic algorithm with local search is an excellent choice for the job-shop sche...
The no-wait job shop (NWJS) considered here is a version of the job shop scheduling problem where, f...
This paper presents three techniques for using an iter-ated local search algorithm to improve the pe...
This paper tackles a complex version of the Job Shop Scheduling Problem (JSSP) that involves both th...
Abstract. This paper deals with the makespan minimization problem of job shops. The problem is known...
The Multi-Processor-Task Job Shop is an extension of the Job Shop problem where an operation of a jo...
No abstract availableThis paper presents a heuristic algorithm for solving a jobshop scheduling prob...
A synergetic combination of small and large neighborhood schemes in developing an effective procedur...
Rapid globalization over the past few years is leading to intense competition among manufacturers th...
The no-wait job shop problem (NWJS-R) considered here is a version of the job shop scheduling proble...
Beam Search is a heuristic method for solving optimization problems. It is an adaptation of the bran...
This paper presents a meta-heuristic algorithm for solving a job shop scheduling problem involving b...