Nowadays, engineering process often requires the optimization of a cost: improving energetic yield, minimizing the used space, reducing the development effort, . . . Not surprisingly, research in optimization is one of the most active field of computer science. Metaheuristics are among the state-of-the-art techniques for combinatorial optimization problem. In this context, the paper addresses t...

This research work undertaken comprehends an impending accost of developing a secure protocol to sustain optimization and trust in MANET through crypt-biometric approach inculcating meta-heuristic algorithm. Meta-heuristics based genetic algorithm not only will help in maintaining Quality of Service(QOS) by selecting a fittest i.e. shortest route but also tends to overcome the security and priv...

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...

The Vehicle Routing Problem (VRP), a famous problem of operation research, holds a central place in combinatorial optimization problems. In this problem, a fleet vehicles with Q capacity start to move from depot and return after servicing to customers in which visit only ones each customer and load more than its capacity not at all. The objective is to minimize the number of used vehicles and t...

In this paper, we propose a vibration damping optimization algorithm to solve a fuzzy mathematical model for the single-item capacitated lot-sizing problem. At first, a fuzzy mathematical model for the single-item capacitated lot-sizing problem is presented. The possibility approach is chosen to convert the fuzzy mathematical model to crisp mathematical model. The obtained crisp model is in the...

Plugin-based software systems are the next step of evolution in application development. By supporting fine grained modularity not only on the source code but also on the post-compilation level, plugin frameworks help to handle complexity, simplify application configuration and deployment, and enable users or third parties to easily enhance existing applications with self-developed modules with...

Ant colony optimization (ACO) is a novel and promising meta-heuristic for solving hard combinatorial optimization problems, such as travelling salesman[3] [4] [5] [6] [7] [8], quadratic assignment[9] [10] [11] [12] and set covering problem [13]. Unfortunately, according to systems performance evaluation literature, the methods adopted to experimentally validate the current ACO are not enough ac...

The material described in this thesis is the result of an internship of the master study Business Analytics. It has been conducted at FRISS from April 5, 2015 until December 4, 2015. FRISS is a consultancy and software company specialized in fraudand risk management for the insurance sector and is located in Utrecht, the Netherlands. The main research problem described in this thesis is how to ...

Nowadays computers are used to solve a variety and multitude of complex problems facing in every sphere of peoples’ life. However, many of the problems are intractable in nature exact algorithm might need centuries to manage with formidable challenges. In such cases heuristic or in a broader sense meta-heuristic algorithms that find an approximate solution but have acceptable time and space com...