The study deal with a single machine scheduling problem where the objective is to find the sequence which it give the optimal or efficient solution for the objective function the sum of discounted weighted completion time and number of tardy jobs. The optimal solution was found for some special cases. Ant colony optimization (ACO) using to found an approximate solution. Results of extensive computational tests show that proposed (ACO) is effective in solving problems up to (1000) jobs at a time less than or equal to (10) minutes
The nature has inspired several metaheuristics, outstanding among these is Ant Colony Optimization (...
[[abstract]]Ant colony optimization (ACO) is a meta-heuristic proposed to derive approximate solutio...
Ant Colony Optimization (ACO) is a new algorithm approach, inspired by the foraging behavior of real...
Machine scheduling is a central task in production planning. In general it means the problem of sche...
The paper introduces an approach to solve the problem of generating a sequence of jobs that minimiz...
This paper deals with the makespan minimization for Job Scheduling . Research on optimization techni...
In this paper the NP-hard single machine total weighted tardiness scheduling problem in presence of ...
In this paper the NP-hard single machine total weighted tardiness scheduling problem in presence of ...
Combinatorial optimization is a branch of optimization in applied mathematics and computer science, ...
The optimum solution of the production scheduling problem for manufacturing processes at an enterpri...
We propose a hybrid algorithm based on the ant colony optimization (ACO) meta-heuristic, in conjunct...
This article proposes an Ant Colony Optimization (ACO) metaheuristic to minimize total makespan for ...
Single Machine Total Weighled Tardiness problem (SMTWTP) is an important combinatorial optimization...
Ant Colony Optimization (ACO) is a new algorithm approach, inspired by the foraging behavior of real...
Ant Colony Optimization (ACO) is a new algorithm approach, inspired by the foraging behavior of real...
The nature has inspired several metaheuristics, outstanding among these is Ant Colony Optimization (...
[[abstract]]Ant colony optimization (ACO) is a meta-heuristic proposed to derive approximate solutio...
Ant Colony Optimization (ACO) is a new algorithm approach, inspired by the foraging behavior of real...
Machine scheduling is a central task in production planning. In general it means the problem of sche...
The paper introduces an approach to solve the problem of generating a sequence of jobs that minimiz...
This paper deals with the makespan minimization for Job Scheduling . Research on optimization techni...
In this paper the NP-hard single machine total weighted tardiness scheduling problem in presence of ...
In this paper the NP-hard single machine total weighted tardiness scheduling problem in presence of ...
Combinatorial optimization is a branch of optimization in applied mathematics and computer science, ...
The optimum solution of the production scheduling problem for manufacturing processes at an enterpri...
We propose a hybrid algorithm based on the ant colony optimization (ACO) meta-heuristic, in conjunct...
This article proposes an Ant Colony Optimization (ACO) metaheuristic to minimize total makespan for ...
Single Machine Total Weighled Tardiness problem (SMTWTP) is an important combinatorial optimization...
Ant Colony Optimization (ACO) is a new algorithm approach, inspired by the foraging behavior of real...
Ant Colony Optimization (ACO) is a new algorithm approach, inspired by the foraging behavior of real...
The nature has inspired several metaheuristics, outstanding among these is Ant Colony Optimization (...
[[abstract]]Ant colony optimization (ACO) is a meta-heuristic proposed to derive approximate solutio...
Ant Colony Optimization (ACO) is a new algorithm approach, inspired by the foraging behavior of real...