Each year, extreme floods, which appear to be occurring more frequently in recent years (owing to climate change), lead to enormous economic damage and human suffering around the world. It is therefore imperative to be able to accurately predict both the occurrence time and magnitude of peak discharge in advance of an impending flood event. The use of meta-heuristic techniques in rainfall-runof...

Many applications of wireless sensor networks (WSN) require information about the geographic location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field, and to self-organize to perform sensing and acting task. The goal of localization is to assign geographic coordinates to each device with unknown position in the deployment area....

We present a heuristic scheme for nding a clique of maximum size or weight. Our heuristic scheme uses approximation techniques for the weighted vertex cover problem, due to R. Bar-Yehuda and S. Even BE85]. The approach is based on the notion of making incremental progress towards nding a clique. At each step of our algorithm, one or more local optimization techniques are attempted, and when the...

Robotics is the science of perceiving and manipulating the physical world. Perceive informa‐ tion on their envioronments through sensors, and manipulate through physical forces. To do diversity tasks, robots have tobe able to accomodate the ennormous uncertainty that exist in the physical world. The level of uncertainty depends on the application domain. In some robotics applications, such as a...

Grid computing system consists of machines with varied computational capabilities. These systems assist in the computing of large amounts of complicated tasks in scientific and engineering areas. It may operate in an environment where system performance features degrade due to unpredictable changes, inaccuracies in the estimation of task execution times etc. These systems need robustness. The r...

This dissertation provides several techniques for solving a class of nonconvex optimization problems that arise in the thermal analysis of electronic chip packages. The topic is of interest because in systems containing delicate electronic components both performance and reliability are impacted by thermal behavior. A modeling paradigm, called Compact Thermal Modeling (CTM), has been demonstrat...

This study developed a methodology for generating good alternative locations for road networks using heuristic solution techniques. Locations for road networks are determined based on road standards, timber harvesting and transportation costs, and topographic conditions. The main access road route is designed first and then single stand access roads are located as branches. A Genetic Algorithm ...

The various meta-heuristic techniques for cloud and grid environment are: Ant Colony Optimization (ACO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Tabu Search, Firefly Algorithm, BAT Algorithm and many more. So this paper represents the two types of meta-heuristic techniques, i.e. BAT algorithm and Genetic Algorithm. The different types of methods which comprise meta-heuristic ...

Once the horizontal alignment of a forest road section between two known locations has been determined by establishing a series of intersection points, the most economic vertical alignment can be identified using heuristic techniques. In a previous research work, Simulated Annealing (SA) was used to locate the optimal vertical alignment for a preselected horizontal alignment, while subject to t...

HEURISTIC SEARCH WITH LIMITED MEMORY by Matthew Hatem University of New Hampshire, May, 2014 Heuristic search algorithms are commonly used for solving problems in artificial intelligence. Unfortunately, the memory requirement of A*, the most widely used heuristic search algorithm, is often proportional to its running time, making it impractical for large problems. Several techniques exist for s...