Genetic algorithms are applied to a scheduling problem taken from the chilled ready meal industry. The application of a Pareto-optimal multi-objective genetic algorithm is demonstrated, together with its ability to produce a selection of near-optimal schedules according to the manufacturer's needs rather than a single solution
In this paper, a novel genetic algorithm (GA) is proposed to solve the two-objective shop scheduling...
This article describes the genetic algorithm used to solve the problem related to the scheduling the...
Combinatorial Multimodal Optimization Problems (CMOP) arising in the scheduling of manufacturing sys...
Production scheduling is a notoriously difficult problem. Manufacturing environments contain comple...
This paper describes the integration of production planning and scheduling in order to find better s...
This paper considers a new variant of a multi-objective flexible job-shop scheduling problem, featur...
Scheduling optimization problems provide much potential for innovative solutions by genetic algorith...
[[abstract]]Over time, the traditional single-objective job shop scheduling method has grown increas...
This research proposes a method to solve the adaptive, multi-objective job shop scheduling problem. ...
Paper presented to the 3rd Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held...
Genetic Algorithm (GA) has been widely used for optimizing the flow shop scheduling problem due to i...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.Includ...
Genetic algorithms (GA's) are global, parallel, stochastic search methods, founded on Darwinian evol...
Abstract:- Nutrition is one of many disciplines, where intractable optimization problems naturally a...
Part VII - Metaheuristics for Production SystemsInternational audienceThis article studies a single-...
In this paper, a novel genetic algorithm (GA) is proposed to solve the two-objective shop scheduling...
This article describes the genetic algorithm used to solve the problem related to the scheduling the...
Combinatorial Multimodal Optimization Problems (CMOP) arising in the scheduling of manufacturing sys...
Production scheduling is a notoriously difficult problem. Manufacturing environments contain comple...
This paper describes the integration of production planning and scheduling in order to find better s...
This paper considers a new variant of a multi-objective flexible job-shop scheduling problem, featur...
Scheduling optimization problems provide much potential for innovative solutions by genetic algorith...
[[abstract]]Over time, the traditional single-objective job shop scheduling method has grown increas...
This research proposes a method to solve the adaptive, multi-objective job shop scheduling problem. ...
Paper presented to the 3rd Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held...
Genetic Algorithm (GA) has been widely used for optimizing the flow shop scheduling problem due to i...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.Includ...
Genetic algorithms (GA's) are global, parallel, stochastic search methods, founded on Darwinian evol...
Abstract:- Nutrition is one of many disciplines, where intractable optimization problems naturally a...
Part VII - Metaheuristics for Production SystemsInternational audienceThis article studies a single-...
In this paper, a novel genetic algorithm (GA) is proposed to solve the two-objective shop scheduling...
This article describes the genetic algorithm used to solve the problem related to the scheduling the...
Combinatorial Multimodal Optimization Problems (CMOP) arising in the scheduling of manufacturing sys...