The field of evolutionary Computation has experienced tremendous growth over the past 20 years, resulting in a wide variety of evolutionary algorithms and applications. The result poses an interesting dilemma for many...
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Under consideration is the theoretical model of social evolution proposed in 1851 by Herbert Spencer with a slightly modified interpretation of basic evolutionary concepts: adaptation, heredity, variation and selectio...
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ISBN:
(纸本)9789897580529
Under consideration is the theoretical model of social evolution proposed in 1851 by Herbert Spencer with a slightly modified interpretation of basic evolutionary concepts: adaptation, heredity, variation and selection. Some of the new concepts belong to informatics: the model (as the most important factor in adaptation and as the core of clans and elites gathering), marshaling and unmarshaling (heredity). Others were taken from sociology: ideologies, the revolutionary process (variation and selection). The paper presents an approach to computer simulation of these processes. It may seem that in the article too much sociology, but it is necessary in order to make the model most adequate. In addition, it is easier to explain the sociological aspects to computer scientists than aspects of informatics - to sociologists.
Machine learning has recently developed novel approaches, mimicking the synapses of the human brain to achieve similarly efficient learning strategies. Such an approach retains the universality of standard methods, wh...
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An appropriate mutation operator of the evolutionary algorithm (EA) maintains a balance between exploration and exploitation. This balance is usually satisfied by using the combined mutation operators (CMOs) of the Ga...
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Based on Clonal Selection Theory, an adaptive Parallel Immune evolutionary Strategy (PIES) is presented. On the grounds of antigen-antibody affinity, the original antibody population can be divided into two subgroups....
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This paper describes an evolutionary computation based graph rewriting approach to generating classes of graphs that exhibit a set of desired global features. A set of rules are used to generate, in a constructive man...
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Many-objective optimization problems are common in real-world applications, few evolutionary optimization methods, however, are suitable for them up to date due to their difficulties. We proposed a reference points-ba...
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ISBN:
(纸本)9781450328814
Many-objective optimization problems are common in real-world applications, few evolutionary optimization methods, however, are suitable for them up to date due to their difficulties. We proposed a reference points-based evolutionary algorithm (RPEA) to solve many-objective optimization problems in this study. In RPEA, a series of reference points with good performances in convergence and distribution are generated according to the current population to guide the evolution. Furthermore, superior individuals are selected based on the assessment of each individual by calculating the distances between the reference points and the individual in the objective space. The algorithm was applied to four benchmark optimization problems and compared with NSGA-II and HypE. The results experimentally demonstrate that the algorithm is strengthened in obtaining Pareto optimal set with high performances.
Protein structure prediction is one of the main challenges in Bioinformatics. An useful representation for protein 3D structure is the protein contact map. In this work, we propose an evolutionary approach for contact...
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Evolving cooperation by evolutionary algorithms is impossible without introducing extra mechanisms. Group selection theory in biology is a good candidate as it explains the evolution of cooperation in nature. Two biol...
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In this paper, a improved self-adaptive evolutionary Algorithm is researched and adopted in CBR engine design system. Because attribute weight of CBR system can obviously influence the accuracy of case-search, the evo...
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ISBN:
(纸本)9781849191395
In this paper, a improved self-adaptive evolutionary Algorithm is researched and adopted in CBR engine design system. Because attribute weight of CBR system can obviously influence the accuracy of case-search, the evolutionary programming Algorithm is used to get attribute weight for adapting to changes of requirement. This paper analyses the coding method of chromosome, educes the adaptability function based on reference case base REF and testing case base TEST, develops a new Self-Adaptive aberrance method that can suit the changes of adaptability function and overcome the lack of conventional evolutionary programming Algorithm. This paper also gives the Algorithm procedure of self-adaptive evolutionary programming and ensures self-adaptive evolutionary programming Algorithm possesses the furthest dispersive search ability during the solution space and the furthest accurate search ability during the local situation. Experiment results prove the validity of self-adaptive Algorithm and CBR design system is used successfully in engine design process.
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