Add to ORKGOver the past few years, a continually increasing number of research efforts have investigated the application of evolutionary computation techniques for the solution of scheduling problems. Scheduling problems can pose extremely complex combinatorial optimization problems, which belong to the NP-hard family. This work shows how an evolutionary approach using different chromosome representations with multiplicity feature MCMP can efficiently solve the JSSP.I Workshop de Agentes y Sistemas Inteligentes (WASI)Red de Universidades con Carreras en Informática (RedUNCI
In an m-machines n-jobs flow-shop sequencing problem each job consists of m operations and each oper...
The study of earliness and tardiness penalties in scheduling is a relatively recent area of research...
Nearly all practical scheduling problems can be described in terms of the job-shop scheduling proble...
Over the past few years, a continually increasing number of research efforts have investigated the a...
Many researchers have shown interest to solve the job shop scheduling problem (JSSP) applying evolut...
A variety of optimization problems in fields such as production operations in manufacturing industry...
This paper describes a Evolutionary Computation (EC) -based tool for the Job-shop Scheduling Proble...
Abstract:- This paper presents an optimization approach for the job shop scheduling problem (JSSP). ...
This paper presents an optimization approach for the job shop scheduling problem (JSSP). The JSSP is...
Evolutionary algorithms (EAs) have been successfully applied to scheduling problems. Current improve...
The Job Shop scheduling problem is widely used in industry and has been the subject of study by seve...
This paper addresses an attempt to evolve genetic algorithms by a particular genetic programming met...
Job Shop Scheduling Problem (JSSP) is a non-deterministic, polynomial-time (NP) hard combinatorial o...
This paper presents a Hybrid Evolutionary Algorithm (HEA) to solve the Job Shop Scheduling Problem (...
Abstract. As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolut...
In an m-machines n-jobs flow-shop sequencing problem each job consists of m operations and each oper...
The study of earliness and tardiness penalties in scheduling is a relatively recent area of research...
Nearly all practical scheduling problems can be described in terms of the job-shop scheduling proble...
Over the past few years, a continually increasing number of research efforts have investigated the a...
Many researchers have shown interest to solve the job shop scheduling problem (JSSP) applying evolut...
A variety of optimization problems in fields such as production operations in manufacturing industry...
This paper describes a Evolutionary Computation (EC) -based tool for the Job-shop Scheduling Proble...
Abstract:- This paper presents an optimization approach for the job shop scheduling problem (JSSP). ...
This paper presents an optimization approach for the job shop scheduling problem (JSSP). The JSSP is...
Evolutionary algorithms (EAs) have been successfully applied to scheduling problems. Current improve...
The Job Shop scheduling problem is widely used in industry and has been the subject of study by seve...
This paper addresses an attempt to evolve genetic algorithms by a particular genetic programming met...
Job Shop Scheduling Problem (JSSP) is a non-deterministic, polynomial-time (NP) hard combinatorial o...
This paper presents a Hybrid Evolutionary Algorithm (HEA) to solve the Job Shop Scheduling Problem (...
Abstract. As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolut...
In an m-machines n-jobs flow-shop sequencing problem each job consists of m operations and each oper...
The study of earliness and tardiness penalties in scheduling is a relatively recent area of research...
Nearly all practical scheduling problems can be described in terms of the job-shop scheduling proble...