In this article, we present a new local method for multiobjective problems. It is an extension of local search algorithms for the single objective case, with specific mechanisms used to build the Pareto set. The performance of the local search algorithm is illustrated by experimental results based on a real problem with three objectives. The problem is issued from electric car-sharing service w...

Flexible Job shop scheduling is very important in production management and combinatorial optimization. It is NP-hard problem and consists of two sub-problems: sequencing and assignment. Multiobjective Flexible Job-Shop Scheduling Problems (MFJSSP) is formulated as three-objective problem which minimizes completion time (makespan), critical machine workload and total work load of all machines. ...

Multivessel batch distillation (MBD) has been proposed and investigated to meet changing demands of the specialty and fine chemistry. This contribution addresses the multiobjective optimisation of a MBD with one intermediate vessel for the first time. The process is highly non-linear and inherent dynamic. Design and operating parameters has been considered simultaneously. The problem formulatio...

Multiobjective local search algorithms are efficient methods to solve complex problems in science and industry. Even if these heuristics allow to significantly reduce the computational time of the solution search space exploration, this latter cost remains exorbitant when very large problem instances are to be solved. As a result, the use of GPU computing has been recently revealed as an effici...

Different optimization models presented on literature show optimization schemes over MPLS or GMPLS networks. However, it has not been showed models that optimize one or more parameters integrating these two types of networks. In this paper a multiobjective scheme for multicast transmissions from a source node to a set of destination nodes in MPLS passing through a GMPLS optical backbone is show...

Within a supply chain, purchasing plays a key role in achieving corporate competition. Hence, selecting the right suppliers is a vital component of these strategies. In practice, supplier selection is a multiobjective programming problem with vagueness and imprecision of the input data. In spite of the importance of the problem, the literature on this subject is relatively scarce. In this paper...

In the present paper, a multiobjective optimal control problem governed by a heat equation with time-dependent convection term and bilateral control constraints is considered. For computing Pareto optimal points and approximating the Pareto front, the reference point method is applied. As this method transforms the multiobjective optimal control problem into a series of scalar optimization prob...

This paper fundamentally investigates the performance of evolutionary multiobjective optimization (EMO) algorithms for computationally hard 0–1 combinatorial optimization, where a strict theoretical analysis is generally out of reach due to the high complexity of the underlying problem. Based on the examination of problem features from a multiobjective perspective, we improve the understanding ...