10.1109/CEC.2012.62529682012 IEEE Congress on Evolutionary Computation, CEC 2012
This paper proposes a novel genetic algorithm (GA) approach that utilizes a multichromosome to solve...
Dynamic flexible job shop scheduling (JSS) is an important combinatorial optimization problem with c...
Dynamic flexible job shop scheduling problems has been one of the important and strongly NP-hard pro...
A scheduling policy (SP) strongly influences the performance of a manufacturing system. However, the...
A scheduling policy strongly influences the performance of a manufacturing system. However, the desi...
Combinatorial optimization, Flexible job shop scheduling, Genetic algorithm, Ant colony optimization...
This paper addresses an attempt to evolve genetic algorithms by a particular genetic programming met...
10.1109/TEVC.2012.2227326IEEE Transactions on Evolutionary Computation175621-639ITEV
In this paper, we present a Multi Objective Genetic Algorithm (MOGA) for modelling and solving the M...
Flexible Job Shop Problem (FJSP) is an extension of classical Job Shop Problem (JSP). The FJSP exten...
Genetic algorithms were intensively investigated in various modifications and in combinations with o...
In Job Shop Scheduling (JSS) problems, there are usually many conflicting objectives to consider, su...
This paper describes a Evolutionary Computation (EC) -based tool for the Job-shop Scheduling Proble...
Over the past few years, a continually increasing number of research efforts have investigated the a...
During last decades, developing multi-objective evolutionary algorithms for optimization problems ha...
This paper proposes a novel genetic algorithm (GA) approach that utilizes a multichromosome to solve...
Dynamic flexible job shop scheduling (JSS) is an important combinatorial optimization problem with c...
Dynamic flexible job shop scheduling problems has been one of the important and strongly NP-hard pro...
A scheduling policy (SP) strongly influences the performance of a manufacturing system. However, the...
A scheduling policy strongly influences the performance of a manufacturing system. However, the desi...
Combinatorial optimization, Flexible job shop scheduling, Genetic algorithm, Ant colony optimization...
This paper addresses an attempt to evolve genetic algorithms by a particular genetic programming met...
10.1109/TEVC.2012.2227326IEEE Transactions on Evolutionary Computation175621-639ITEV
In this paper, we present a Multi Objective Genetic Algorithm (MOGA) for modelling and solving the M...
Flexible Job Shop Problem (FJSP) is an extension of classical Job Shop Problem (JSP). The FJSP exten...
Genetic algorithms were intensively investigated in various modifications and in combinations with o...
In Job Shop Scheduling (JSS) problems, there are usually many conflicting objectives to consider, su...
This paper describes a Evolutionary Computation (EC) -based tool for the Job-shop Scheduling Proble...
Over the past few years, a continually increasing number of research efforts have investigated the a...
During last decades, developing multi-objective evolutionary algorithms for optimization problems ha...
This paper proposes a novel genetic algorithm (GA) approach that utilizes a multichromosome to solve...
Dynamic flexible job shop scheduling (JSS) is an important combinatorial optimization problem with c...
Dynamic flexible job shop scheduling problems has been one of the important and strongly NP-hard pro...
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