this article addresses a single row facility layout problem where the objective is to optimize the arrangement of some rectangular facilities with different dimensions on a line. regarding the np-hard nature of the considered problem, a hybrid meta-heuristic algorithm based on simulated annealing has been proposed to obtain a near optimal solution. a number of test problems are randomly generat...

In this paper, we propose new depth-first heuristic search algorithms to approximate the set of Pareto optimal solutions in multi-objective constraint optimization. Our approach builds upon recent advances in multi-objective heuristic search over weighted AND/OR search spaces and uses an -dominance relation between cost vectors to significantly reduce the set of non-dominated solutions. Our emp...

the markowitz’s optimization problem is considered as a standard quadratic programming problem that has exact mathematical solutions. considering real world limits and conditions, the portfolio optimization problem is a mixed quadratic and integer programming problem for which efficient algorithms do not exist. therefore, the use of meta-heuristic methods such as neural networks and evolutionar...

one of the most important and valuable goal of software development life cycle is software cost estimation or sce. during the recent years, sce has attracted the attention of researchers due to huge amount of software project requests. there have been proposed so many models using heuristic and meta-heuristic algorithms to do machine learning process for sce. cocomo81 is one of the most popular...

In this paper, a preemptive multi-objective multi-mode project scheduling model for resource investment problem is proposed. The first objective function is to minimize the completion time of project (makespan);the second objective function is to minimize the cost of using renewable resources. Non-renewable resources are also considered as parameters in this model. The preemption of activities ...

0360-8352/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.cie.2008.07.021 * Corresponding author. E-mail address: [email protected] (X. Shao). Flexible job-shop scheduling problem (FJSP) is an extension of the classical job-shop scheduling problem. Although the traditional optimization algorithms could obtain preferable results in solving the monoobjective FJSP. However, they are very d...

Multi-objective optimization problems arise frequently in applications but can often only be solved approximately by heuristic approaches. Evolutionary algorithms have been widely used to tackle multi-objective problems. These algorithms use different measures to ensure diversity in the objective space but are not guided by a formal notion of approximation. We present a new framework of an evol...

Optimal multipath selection to maximize the received multiple description coding (MDCs) in a lossy network model is proposed. Multiple description scalar quantization (MDSQ) has been applied to the wavelet coefficients of a color image to generate the MDCs which are combating transmission loss over lossy networks. In the networks, each received description raises the reconstruction quality of a...

This paper focuses on optimizing the long- and short-term planning of perishable product supply chain network (PPSCN). It addresses integration strategic location, tactical inventory, operational routing decisions. Additionally, it takes into consideration specific characteristics products, including their shelf life, inventory management, transportation damages. The main objective is to minimi...