This paper proposes an ant colony optimization (ACO) algorithm to deal with fuzzy document clustering problems. A specialized glossary and a thesaurus are used in order to extract features of the documents and to obta...
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ISBN:
(纸本)9783642205040
This paper proposes an ant colony optimization (ACO) algorithm to deal with fuzzy document clustering problems. A specialized glossary and a thesaurus are used in order to extract features of the documents and to obtain a language-independent vector representation that can be used to measure similarities between documents written in different languages. The pheromone trails obtained in the ACO process are used to determine membership values in a fuzzy clustering. To illustrate the behavior of the algorithm, it was applied to a corpus of bilingual documents in different areas of economic and management.
The Generalised Nash Equilibrium Problem (GNEP) is a Nash game with the distinct feature that the feasible strategy set of a player depends on the strategies chosen by all her opponents in the game. This characteristi...
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ISBN:
(纸本)9783642205040
The Generalised Nash Equilibrium Problem (GNEP) is a Nash game with the distinct feature that the feasible strategy set of a player depends on the strategies chosen by all her opponents in the game. This characteristic distinguishes the GNEP from a conventional Nash Game. These shared constraints on each player's decision space, being dependent on decisions of others in the game, increases its computational difficulty. A special solution of the GNEP is the Nash Normalized Equilibrium which can be obtained by transforming the GNEP into a bi-level program with an optimal value of zero in the upper level. In this paper, we propose a Differential Evolution based Bi-Level Programming algorithm embodying Stochastic Ranking to handle constraints (DEBLP-SR) to solve the resulting bi-level programming formulation. Numerical examples of GNEPs drawn from the literature are used to illustrate the performance of the proposed algorithm.
The goal of our research is to evaluate the general methods of finding solution of a system of differential equations. In this paper we investigate a novel two step genetic algorithm approach that produces an analytic...
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ISBN:
(纸本)9783642286636;9783642286643
The goal of our research is to evaluate the general methods of finding solution of a system of differential equations. In this paper we investigate a novel two step genetic algorithm approach that produces an analytical solution of the system. The evaluation of the algorithm reveals its capability to solve non-trivial systems in very small number of generations. In order to find the best solution, and due to the fact that the simulations are computational intensive, we use grid genetic algorithms. Using the gLite based Grid, we propose a grid genetic solution that uses large number of computational nodes, that archives excellent performance. This research will be the basis on our goal of solving more complex research problems based around the Schrodingers equation.
ACKTUS is a semantic web application for modeling knowledge to be integrated in support systems for health care, and for designing the interaction with the end user applications. This paper presents the ongoing work o...
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ISBN:
(纸本)9783642198748
ACKTUS is a semantic web application for modeling knowledge to be integrated in support systems for health care, and for designing the interaction with the end user applications. This paper presents the ongoing work on integrating argument-based inquiry dialogues between agents that include contextual factors in the reasoning. Practical applications of agent-based and interactive dialogue systems are rare in the medical and health domain, partly due to its safety-critical nature. The purpose of the work presented in this paper is to demonstrate the added value a personalized dialogue system can provide a clinician in clinical practice in terms of learning and decision making as supplement to a regular decision-support system in the dementia domain.
Within knowledge-based society companies are the main engines of technological innovations, boosted by severe global competition and shorter product life-cycle. In parallel learning systems slowly adapt to increasing ...
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ISBN:
(纸本)9783642231629
Within knowledge-based society companies are the main engines of technological innovations, boosted by severe global competition and shorter product life-cycle. In parallel learning systems slowly adapt to increasing needs of learners, society and companies. Learning often becomes isolated practice, concentrated in educational institutions and not reflecting regional, company or practical context. Therefore, the present research proposes a new approach for discussion and comparison of emerging living labs environments with e-learning systems as technology-mediated social participation systems. Matching e-learning with living labs can increase value both for education and for innovation processes. That is why there will be discussed three main scenarios for implementation e-learning in the context of living labs, living labs in the context of e-learning and implementation of living lab for e-learning.
Quantum-dot cellular automata (QCA) are proposed as one of the foremost candidates to replace the complementary metal-oxide semiconductor (CMOS) technology. The majority gate and the inverter gate together make a univ...
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ISBN:
(纸本)9783642205040
Quantum-dot cellular automata (QCA) are proposed as one of the foremost candidates to replace the complementary metal-oxide semiconductor (CMOS) technology. The majority gate and the inverter gate together make a universal set of Boolean primitives in QCA technology. Reducing the number of required primitives to implement a given Boolean function is an important step in designing QCA logic circuits. Previous research has shown how to use genetic algorithms to minimize the number of majority gates implementing a given Boolean function with one output. In this paper we show how to minimize Boolean functions with an arbitrary number of outputs. Simulation results for the circuits with three, four and five outputs show our method on the average results in 25.41, 28.82, 30.89 percentage decrease in the number of required gates in comparison with optimizing each output independently.
Distributed Constraint Satisfaction Problems (DCSP) provide a formalism for representing, in a simple and efficient way, distributed problems. Different agents collaborate with each other in order to find a global sol...
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ISBN:
(纸本)9783642198748
Distributed Constraint Satisfaction Problems (DCSP) provide a formalism for representing, in a simple and efficient way, distributed problems. Different agents collaborate with each other in order to find a global solution subject to constraints. In general, researchers evaluate DCSP algorithms on graph coloring problems or uniform random binary DCSP. In this paper, we propose to compare DCSP algorithms on a multi-agent exploration problem. This problem is a particular case of multi-agent coordination problems and the evaluation of DCSP algorithms on this problem is difficult. In order to measure different aspects of this multi-agent exploration problem, we use six different criteria: classical criteria from DCSP benchmarks and specific criteria for this problem.
Individual based modeling is an alternative research method for ecologist that overcomes certain limitations of traditional techniques. This method simplifies hypothesis testing and analysis that may explain the dynam...
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ISBN:
(纸本)9783642196430
Individual based modeling is an alternative research method for ecologist that overcomes certain limitations of traditional techniques. This method simplifies hypothesis testing and analysis that may explain the dynamics and evolution of populations and/or ecological patterns. Ecological systems are so vast and complex that a unique tool for creation and use of these models would not be viable. Due to its nature, available tools are not easy to use by ecologist without expertise in computer programming. However, the main drawback of these tools is their lack of mechanisms to build true individual models. In order to cope with individualism we state six characteristics that we consider an IBM must comply with (when implemented under the multi-agent system paradigm). Finally, we propose a framework easy to use by ecologists for the modeling and simulation of ecosystems that complies with the characteristics mentioned above.
In the article we investigate the informational efficiency of Nasdaq OMX Baltic stock exchange by applying Shannon's entropy measure for symbolized time series. The complexity of the problem of market efficiency e...
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ISBN:
(纸本)9783642196430
In the article we investigate the informational efficiency of Nasdaq OMX Baltic stock exchange by applying Shannon's entropy measure for symbolized time series. The complexity of the problem of market efficiency evaluation has lead to application of various softcomputing methods and to even contradictory outcomes confirming or denying the efficient market hypothesis. The goal of the article is to explore the possibilities of quantitative evaluation of market effectiveness, by presenting the computational method and its experimental research for the financial data of the emerging Baltic market. The computations were performed for different time spans and symbolic word lengths. The research results allowed to conclude that the efficiency of Baltic market strongly falls behind the developed countries, and it raises expectations for modelling profitable trading strategies. Application of the entropy measure allows to explore the evolution of the market efficiency and to apply the algorithm for predicting the forthcoming crises of financial markets.
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