Colloque avec actes et comité de lecture. internationale.International audienceWe consider the one machine scheduling problem with identical release dates, sequence dependent set-up times and weighted sum of performance as performance measure. We propose new genetic operators called "data oriented" that use not only the permutation contained in the chromosome but also an analysis of the corresponding solution. The experimental results show that data oriented operators are globally better than calssical ones
This paper presents a mathematically enhanced genetic algorithm (MEGA) using the mathematical proper...
We consider the problem of scheduling a number of jobs, each job having a release time, a processing...
How a company schedules its production activities can have a significant effect on its ability to me...
Colloque avec actes sans comité de lecture. internationale.International audienceIn this paper, we c...
International audienceThe general one-machine scheduling problem is strongly NP-Hard when the object...
We develop an optimised crossover operator designed by an undirected bipartite graph within a geneti...
Colloque sans acte à diffusion restreinte.The general flowshop scheduling problem is approximately s...
(eng) In the NP-hard multiprocessor scheduling problem a set of precedence constrained tasks are all...
In this paper, a hybrid genetic algorithm is developed to solve the single machine scheduling proble...
Artificial chromosomes with genetic algorithm (ACGA) is one of the latest Estimation of Distribution...
[[abstract]]Artificial chromosomes with genetic algorithm (ACGA) is one of the latest versions of th...
We develop an optimised crossover operator designed by an undirected bipartite graph within a geneti...
This paper presents a genetic algorithm for a single machine-scheduling problem with the objective o...
Artificial chromosomes with genetic algorithm (ACGA) is one of the latest versions of the estimation...
In this paper, we address a single machine family scheduling problem where jobs, each characterised ...
This paper presents a mathematically enhanced genetic algorithm (MEGA) using the mathematical proper...
We consider the problem of scheduling a number of jobs, each job having a release time, a processing...
How a company schedules its production activities can have a significant effect on its ability to me...
Colloque avec actes sans comité de lecture. internationale.International audienceIn this paper, we c...
International audienceThe general one-machine scheduling problem is strongly NP-Hard when the object...
We develop an optimised crossover operator designed by an undirected bipartite graph within a geneti...
Colloque sans acte à diffusion restreinte.The general flowshop scheduling problem is approximately s...
(eng) In the NP-hard multiprocessor scheduling problem a set of precedence constrained tasks are all...
In this paper, a hybrid genetic algorithm is developed to solve the single machine scheduling proble...
Artificial chromosomes with genetic algorithm (ACGA) is one of the latest Estimation of Distribution...
[[abstract]]Artificial chromosomes with genetic algorithm (ACGA) is one of the latest versions of th...
We develop an optimised crossover operator designed by an undirected bipartite graph within a geneti...
This paper presents a genetic algorithm for a single machine-scheduling problem with the objective o...
Artificial chromosomes with genetic algorithm (ACGA) is one of the latest versions of the estimation...
In this paper, we address a single machine family scheduling problem where jobs, each characterised ...
This paper presents a mathematically enhanced genetic algorithm (MEGA) using the mathematical proper...
We consider the problem of scheduling a number of jobs, each job having a release time, a processing...
How a company schedules its production activities can have a significant effect on its ability to me...