Evolutionary algorithms (EAs) offer a robust approach to problem solving. EAs are extremely flexible and can be extended by incorporating alternative approaches to favour he search process. One way is to hybridize an evolutionary algorithm with standard local search procedures [10,11], such as hill climbing [12], simulated annealing [15] and tabu search [4]. Individual solutions can be improved using local techniques and then placed back in competition with other members of the population. The hybrid approach complements the properties of evolutionary algorithm and local search heuristic methods. An evolutionary algorithm is used to perform global search to escape from local optima, while local search is used to conduct fine-tuning.Eje: Int...
We present here a hybrid algorithm for the Flexible Job-Shop Scheduling Problem (FJSSP). This proble...
We present here a hybrid algorithm for the Flexible Job-Shop Scheduling Problem (FJSSP). This proble...
Discrete optimization methods are applied in time-dependent systems where there are problems of prod...
Evolutionary algorithms (EAs) offer a robust approach to problem solving. EAs are extremely flexible...
A new issue for combinatorial optimization problems is to incorporate local search into the framewor...
A new issue for combinatorial optimization problems is to incorporate local search into the framewor...
The choice of a search algorithm can play a vital role in the success of a scheduling application. E...
A new issue for combinatorial optimization problems is to incorporate local search into the framewor...
The choice of a search algorithm can play a vital role in the success of a scheduling application. E...
This paper presents a Hybrid Evolutionary Algorithm (HEA) to solve the Job Shop Scheduling Problem (...
This paper presents possible ways to improve enterprises’ scheduling, simplified as Job-Shop Schedul...
Job Shop Problem is a critical one;to solve such problems genetic operators can be used. Population ...
Job Shop Problem is a criticalone;to solve such problems genetic operators can be used. Population s...
Abstract: Job scheduling is a NP –hard problem in which we have to minimize the makespan time. Sched...
Job Shop Problem is a criticalone;to solve such problems genetic operators can be used. Population s...
We present here a hybrid algorithm for the Flexible Job-Shop Scheduling Problem (FJSSP). This proble...
We present here a hybrid algorithm for the Flexible Job-Shop Scheduling Problem (FJSSP). This proble...
Discrete optimization methods are applied in time-dependent systems where there are problems of prod...
Evolutionary algorithms (EAs) offer a robust approach to problem solving. EAs are extremely flexible...
A new issue for combinatorial optimization problems is to incorporate local search into the framewor...
A new issue for combinatorial optimization problems is to incorporate local search into the framewor...
The choice of a search algorithm can play a vital role in the success of a scheduling application. E...
A new issue for combinatorial optimization problems is to incorporate local search into the framewor...
The choice of a search algorithm can play a vital role in the success of a scheduling application. E...
This paper presents a Hybrid Evolutionary Algorithm (HEA) to solve the Job Shop Scheduling Problem (...
This paper presents possible ways to improve enterprises’ scheduling, simplified as Job-Shop Schedul...
Job Shop Problem is a critical one;to solve such problems genetic operators can be used. Population ...
Job Shop Problem is a criticalone;to solve such problems genetic operators can be used. Population s...
Abstract: Job scheduling is a NP –hard problem in which we have to minimize the makespan time. Sched...
Job Shop Problem is a criticalone;to solve such problems genetic operators can be used. Population s...
We present here a hybrid algorithm for the Flexible Job-Shop Scheduling Problem (FJSSP). This proble...
We present here a hybrid algorithm for the Flexible Job-Shop Scheduling Problem (FJSSP). This proble...
Discrete optimization methods are applied in time-dependent systems where there are problems of prod...