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This paper exploits the parallelism potential on a Clonal Selection Algorithm (CSA) as a parallel metaheuristic algorithm, due the lack of explanation detail of the stages of designing parallel algorithms. To parallelise population-based algorithms, we need to exploit and define their granularity for each stage; do data or functional partition; and choose the communication model. Using a library for...
Bio-inspired computing is the idea to emulate and to get inspirations from biological systems which is then used to solve complex problems. Artificial immune systems, as one of the bio-inspired computing has contributed in solving complex problems. From one generation to another generation, AIS's practitioners realize that to get better algorithms we need the inspiration with the better understanding...
Artificial Immune System (AIS) has become known as an area of computer science and engineering that uses immune system's metaphors to solve problems with a novel solution. The immune system has an interesting area for computer scientists with its uniqueness and fascinating computational system that has evolved to solve a unique problem. A deeper understanding of the immune system, in part through...
Computational complexity is a problem faced in the frequency spectrum auction and is called the Winner Determination Problem. The complexity increases when the object auction increases and partitioned into groups of objects based on some pre-defined zone. With the zoning scheme, there are three alternative determination of winners, the bidders get the whole object of auction at the entire zone (also...
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