Bag-of-Tasks (BoT) scheduling over cloud computing resources called Cloud Scheduling (CBS) problem, which is a well-known NP-hard optimization problem. Whale Optimization Algorithm (WOA) an effective method for CBS problems, still requires further improvement in exploration ability, solution diversity, convergence speed, and ensuring adequate exploration–exploitation tradeoff to produce superio...

A novel hybrid method for tracking multiple indistinguishable maneuvering targets using a wireless sensor network is introduced in this paper. The problem of tracking the location of targets is formulated as a Maximum Likelihood Estimation. We propose a hybrid optimization method, which consists of an iterative and a heuristic search method, for finding the location of targets simultaneously. T...

In this paper we discuss the optimal design of logical topologies in wavelength-routed WDM networks supporting unicast and multicast transfer of IP datagrams. We first explain the key aspects of the problem, emphasizing the fact that in IP networks the routing algorithms are an input to the optimization problem, not an optimization target. We then provide a mixed integer linear programming form...

Combinatorial optimization is widely applied in a number of areas nowadays. Unfortunately, many combinatorial optimization problems are NPhard which usually means that they are unsolvable in practice. However, it is often unnecessary to have an exact solution. In this case one may use heuristic approach to obtain a near-optimal solution in some reasonable time. We focus on two combinatorial opt...

This paper presents a novel hybrid algorithm based on particle swarm optimization (PSO) and noising metaheuristics for solving the single-source shortest-path problem (SPP) commonly encountered in graph theory. This hybrid search process combines PSO for iteratively finding a population of better solutions and noising method for diversifying the search scheme to solve this problem. A new encodi...

Since its inception in the early 1980s, we have seen a lot of exciting developments in the field of metaheuristics. The complexity of many real-world problems, which are often associated with large search spaces, real-time performance demands and dynamic environments, has made exact solution methods impractical to solve them within a reasonable amount of time. This gives rise to various types o...

Screening weapon-systems is a critical task in determining whether a systems development effort will be successful and eventually provide the increased war fighting capability the user had originally envisioned. Weapon system selection is a multi-criteria decision problem that must be accomplished within a constrained resource environment. Several alternatives must be considered and evaluated i...

The learning process of artificial neural networks is an important and complex task in the supervised field. main difficulty training a network fine-tuning best set control parameters terms weight bias. This paper presents new method based on hybrid particle swarm optimization with Multi-Verse Optimization (PMVO) to train feedforward networks. algorithm utilized search better solution space whi...

Virtualization is widely used owing to its advantages, such as flexibility, scalability, and cost reduction. One important advantage is the decrease in power consumption, which is obtained by concentrating virtual machines (VMs) into a fewer physical machines (PMs). This is done by optimally placing VMs to their hosts. This placement problem is an intractable combinatorial optimization problem....

Portfolio selection (optimization) problem is a very important and widely researched problem in the areas of finance and economy. Literature review shows that many methods and heuristics were applied to this hard optimization problem, however, there are only few implementations of swarm intelligence metaheuristics. This paper presents artificial bee colony (ABC) algorithm applied to the cardina...