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...

clustering is the process of dividing a set of input data into a number of subgroups. the members of each subgroup are similar to each other but different from members of other subgroups. the genetic algorithm has enjoyed many applications in clustering data. one of these applications is the clustering of images. the problem with the earlier methods used in clustering images was in selecting in...

A quantum chaos cloning multi-objective evolutionary algorithm was proposed herein based on chaos search ergodicity, quantum computing efficiency and clonal selection theory of antibodies in artificial immune system. The qubits encoded initial population is used in the new algorithm, Chaos quantum rotation gates are introduced to update individuals, crowding distance is used to keep solution po...

This paper gives a global review of artificial immune systems in computer science and their implementation. The performance of the immunological algorithm in solving optimization problems is analysed using the Optimization Algorithm Toolkit, with emphasis on determining the impact of parameter values. It is shown that these types of algorithms are particularly sensitive to the choice of paramet...

Attacks against computer networks are becoming more sophisticated, with adversaries using new attacks or modifying existing attacks. The research uses two types of multiobjective approaches, lexicographic and Pareto-based, in an evolutionary programming algorithm to develop a new method for detecting such attacks. This development extends the Computer Defense Immune System, an artificial immune...

In this paper, some initial investigations are conducted to apply Artificial immune system(AIS) for classification of remotely sensed images. As a novel branch of computational intelligence, AIS has strong capabilities of pattern recognition, learning and associative memory, hence it is natural to view AIS as a powerful information processing and problem-solving paradigm in both the scientific ...

Recently the human immune systems have aroused researcher’s interest due to it useful mechanisms which can be used exploited for information processing in a complex cognition system. The scope of this research is not to reproduce any immune phenomenon accurately, rather to show that immune concepts can be applied to develop powerful computational tools for data processing. From this viewpoint, ...

This thesis proposes a bio-inspired computational framework, the Neuro-Immune Network reGulating (NING) framework. In higher vertebrates, the immune system and the nervous system, corporately, maintain a level of internal stable state of the hosts. This internal stable states is known as homeostasis. Similarly, an artificial homeostasis is targeted in this NING framework. There are two networks...