Titlebook: Knowledge-Based and Intelligent Information and Engineering Systems; 14th International C Rossitza Setchi,Ivan Jordanov,Lakhmi C. Jain Conf

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浪費(fèi)物質(zhì)

Embracing Uncertainty: The New Machine Intelligencen the applicability of this approach helped to drive black-box statistical methods, such as neural networks, based on learning from data. These black-box methods too are hitting limitations, due to the challenges of incorporating background knowledge. In this talk I will describe a new paradigm for

制度

Aqueous-Humor

Knowledge Visualization for Engineered Systemstimisation, education and training. World leading operations are increasingly relying on modelling and simulation to develop more efficient systems and to produce higher quality products and services. Modelling and simulation allows scientists and engineers a better understanding of three-dimensiona

非秘密

Proximity-Based Federation of Smart Objects: Liberating Ubiquitous Computing from Stereotyped Applics available on the Internet. Each smart object is modeled as a set of ports, each of which represents an I/O interface for a function of this smart object to interoperate with some function of another smart object. This paper first proposes our first-level formal modeling of smart objects and their

騎師

向前變橢圓

Discovering Process Models with Genetic Algorithms Using Samplingr are issues that make process mining a complex problem. A genetic mining algorithm, which applies genetic operators to search in the space of all possible process models, deals with the aforementioned challenges with success. Its drawback is high computation time due to the high time costs of the f

竊喜

A Multi-Objective Evolutionary Approach for the Antenna Positioning Problemrastructures required to establish a wireless network. Several objectives must be considered when tackling .: minimise the cost, and maximise the coverage, among others. Most of the proposals simplify the problem, converting it into a mono-objective problem. In this work, multi-objective evolutionar

徹底明白

CLONAL-GP Framework for Artificial Immune System Inspired Genetic Programming for Classificationreproduction operators mimicking the phenomena of natural evolution to search for efficient classifiers. The proposed framework uses AIS inspired clonal selection algorithm to evolve classifiers using GP. The clonal selection principle states that, in human immune system, high affinity cells that re

江湖郎中

Solving Industrial Based Job-Shop Scheduling Problem by Distributed Micro-Genetic Algorithm with Loc thus new GA structures and techniques are currently widely investigated. In this paper, we propose to solve JSSP using distributed micro-genetic algorithm (micro-GA) with local search based on the Asynchronous Colony Genetic Algorithms (ACGA). We also developed a representation for the problem in o