As mobile adhoc networks operate with nodes carrying small amount of energy, reducing energy consumption is a major issue in adhoc networks. The paper discusses a protocol along with its implementation which incorporates Artificial intelligence search techniques, namely A* search and Dijkstra’s algorithm to reduce the distance traversed by both the data and the control information. The transmis...

Many artificial intelligence applications often require a huge amount of computing resources. As a result, cloud computing adoption rates are increasing in the artificial intelligence field. To support the demand for artificial intelligence applications and guarantee the service level agreement, cloud computing should provide not only computing resources but also fundamental mechanisms for effi...

Designing and implementing an intelligent system that tackles the problem of placing two-dimensional shapes on a surface, such that no shapes overlap and the uncovered surface area is minimized, is highly important in industrial applications. However, it is also interesting from the scientific perspective, in terms of artificial intelligence, since autonomous systems developed up to now have fo...

Planning is a subject of interest to the Artificial Intelligence community. Genetic algorithms, neural networks, and simulated annealing are heuristic search methods often used to solve complex optimization problems. In this paper, we have proposed a novel intelligence paradigm to solve planning problems. This paper extends the Artificial Immune System (AIS) approach by proposing a new methodol...

ions of these networks, eg, cube on cube (The Society of Mind by Marvin Minsky, MIT, 1985) and “learning” mechanisms (The Organization of Behavior by Donald O Hebb, 1949) may not constitute intelligence. These processes populate fields with values from the user environment which can be selectively used (per contra hard coded defined sets). For example, NEST Learning Thermostat uses input values...

Artificial bee colony (ABC) is a relatively new swarm intelligence based metaheuristic. It was successfully applied to various, mostly continuous, optimization problems. For all such heuristically guided search algorithms balance between exploitation and exploration is the determining factor for success. It is generally considered that in the ABC algorithm exploitation is performed by employed ...