Proper arrangement of facility layout is a key issue in management that influences efficiency and the profitability of the manufacturing systems. Parallel Row Ordering Problem (PROP) is a special case of facility layout problem and consists of looking for the best location of n facilities while similar facilities (facilities which has some characteristics in common) should be arranged in a row ...

In this paper we present two multi-objective optimization techniques for the design of a passive suspension for a quarter-car vehicle model. These techniques are based on meta-heuristic optimization and bilinear matrix inequalities (BMI) respectively. The use of multi-objective optimization is motivated by the need to optimize simultaneously various performance measures when designing a vehicle...

This paper considers a non-identical parallel machine scheduling problem with sequence and machine dependent setup times. The objective of this problem is to determine the allocation of jobs and the scheduling of each machine to minimize makespan. A mathematical model for optimal solution is derived. An in-depth analysis of the model shows that it is very complicated and difficult to obtain opt...

Meta-heuristic optimization algorithms are used in many application areas to solve problems. In recent years, meta-heuristic have gained importance over deterministic search solving However, none of the techniques equally effective all Therefore, researchers focused on either improving current or developing new ones. Many alternative inspired by nature been developed complex It is important com...

This paper presents application of an improved Harmony Search (HS) technique and Charged System Search algorithm (CSS) to estimate transport energy demand in Iran, based on socio-economic indicators. The models are developed in two forms (exponential and linear) and applied to forecast transport energy demand in Iran. These models are developed to estimate the future energy demands based on pop...

<p style='text-indent:20px;'>During military operations, obtaining information on remote battlefields is essential and recent advances in unmanned aerial vehicle technology have led to the use of drones view battlefields. However, operations introduces new problem determining travel routes for drones. This type similar well-known classical routing problem, but main difference its objectiv...

The Multidimensional Assignment Problem (MAP) is a combinatorial optimization problem arising in diverse applications such as computer vision and motion tracking. In the MAP, the objective is to match tuples of objects with minimum total cost. Randomized parallel algorithms are proposed to solve MAPs appearing in Multi-Sensor Multi-Target applications. A parallel construction heuristic is descr...

Algorithmic – based search approach is ineffective at addressing the problem of multi-dimensional feature selection for document categorization. This study proposes use meta heuristic optimal selection. Elephant optimization (EO) and Ant Colony (ACO) algorithms coupled with Naïve Bayes (NB), Support Vector Machin (SVM), J48 classifiers were used to highlight capability meta-heuristic in In addi...