The parallel machine scheduling problem with sequence dependent setup times is among the moststudied and hard combinatorial optimization problems, and has been investigated in depth by numerous researchers of both theoretical and practical interests. An extension of this problem to the case of unrelated parallel machines with multi-objective is evidently more complex, and its application can be...

Abstract The ever increasing demand for container transportation has led to the congestion of maritime terminals in world. In this work, two interrelated problems berth and quay crane scheduling are considered an integrated multiobjective mathematical model. A special character model is that arrival times vessels failure (working) cranes not deterministic can vary based on some scenarios. Hence...

<p style='text-indent:20px;'>In today's competitive world, scheduling problems are one of the most important and vital issues. In this study, a bi-objective unrelated parallel machine problem with worker allocation, sequence dependent setup times, precedence constraints, eligibility is presented. The objective functions to minimize costs tardiness hiring workers. order formulate proposed ...

This paper presents a new hybrid evolutionary algorithm to solve multi-objective multicast routing problems in telecommunication networks. The algorithm combines simulated annealing strategies and genetic local search, aiming at a more flexible and effective exploration and exploitation in the search space of the complex problem to find more non-dominated solutions in the Pareto Front. Due to t...

Flow shop scheduling deals with the determination of optimal sequence jobs processing on machines in a fixed order main objective consisting minimizing completion time all (makespan). This type problem appears many industrial and production planning applications. study proposes new bi-objective mixed-integer programming model for solving synchronous flow problems time. The functions are total m...

In this paper, a multi-objective project scheduling problem is addressed. This problem considers two conflicting, priority optimization objectives for project managers. One of these objectives is to minimize the project makespan. The other objective is to assign the most effective set of human resources to each project activity. To solve the problem, a multi-objective hybrid search and optimiza...

Purpose – In order to achieve excellence in manufacturing, goals like lean, economic and quality production with enhanced productivity play a crucial role in this competitive environment. It also necessitates major improvements in generally three primary technical areas: variation reduction, equipment reliability, and production scheduling. Complexity of the real world scheduling problems also ...

Many areas in which computational optimisation may be applied are multi-objective optimisation problems; those where multiple objectives must be minimised (for minimisation problems) or maximised (for maximisation problems). Where (as is usually the case) these are competing objectives, the optimisation involves the discovery of a set of solutions the quality of which cannot be distinguished wi...

Association rule mining process can be visualized as a multi-objective problem rather than as a single objective one. Measures like support, confidence and other interestingness criteria which are used for evaluating a rule, can be thought of as different objectives of association rule mining problem. Support count is the number of records, which satisfies all the conditions that exist in the r...