As globalization has increased in the past few years, many companies attempts to made appropriate strategic decision to meet with this challenge. The problem under study mainly focuses on minimizing overall make-span but additional objectives such as balancing the assembly line and minimizing the variation of completion time are also considered. Due to the complexity of problem solving procedure by mathematical techniques, this paper presents a new approach of hybrid GA-SA implementation in order to meet the problem objectives. A proposed hybrid GA-SA is executed to overcome the problem complexity and meet the problem objectives. In order to check the efficiency of hybrid search techniques, a comparison is done between the results obtained ...
In many industrial sectors, decision makers are faced with large and complex problems that are often...
Flow shop scheduling problem consists of scheduling n jobs on m machines. As an attempt for meeting ...
This paper presents a new hybrid algorithm, which executes ant colony optimization in combination wi...
A Mixed-model assembly line is widely employed to perform the assembly operation in industries and t...
In this paper, a hybrid GA approach combining genetic algorithm (GA) and tabu search (TS) is propose...
In practice, modeling an assembly system often requires assigning a set of operations to a set of wo...
In this paper, a hybrid meta-heuristic approach combining genetic algorithm (GA) with tabu search (T...
Application of genetic algorithm method to optimize flow shop sequencing problem as the title of thi...
International audienceNowadays, the customers are increasingly demanding, pushing the companies to o...
It can be deduced from previous studies that there exists a research gap in assembly line sequencing...
Due to the complexity of the production shop in discrete manufacturing industry, the traditional gen...
The optimization problems on real-world usually have non-linear characteristics. Solving non-linear ...
Genetic algorithms were intensively investigated in various modifications and in combinations with o...
As one of the key characteristics in manufacturing systems, scalability plays an increasingly import...
Combinatorial optimization problems arise in many scientific and practical applications. Therefore m...
In many industrial sectors, decision makers are faced with large and complex problems that are often...
Flow shop scheduling problem consists of scheduling n jobs on m machines. As an attempt for meeting ...
This paper presents a new hybrid algorithm, which executes ant colony optimization in combination wi...
A Mixed-model assembly line is widely employed to perform the assembly operation in industries and t...
In this paper, a hybrid GA approach combining genetic algorithm (GA) and tabu search (TS) is propose...
In practice, modeling an assembly system often requires assigning a set of operations to a set of wo...
In this paper, a hybrid meta-heuristic approach combining genetic algorithm (GA) with tabu search (T...
Application of genetic algorithm method to optimize flow shop sequencing problem as the title of thi...
International audienceNowadays, the customers are increasingly demanding, pushing the companies to o...
It can be deduced from previous studies that there exists a research gap in assembly line sequencing...
Due to the complexity of the production shop in discrete manufacturing industry, the traditional gen...
The optimization problems on real-world usually have non-linear characteristics. Solving non-linear ...
Genetic algorithms were intensively investigated in various modifications and in combinations with o...
As one of the key characteristics in manufacturing systems, scalability plays an increasingly import...
Combinatorial optimization problems arise in many scientific and practical applications. Therefore m...
In many industrial sectors, decision makers are faced with large and complex problems that are often...
Flow shop scheduling problem consists of scheduling n jobs on m machines. As an attempt for meeting ...
This paper presents a new hybrid algorithm, which executes ant colony optimization in combination wi...