The paper deals with the shielding enclosure design using evolutionary algorithms without predetermined conditions. The designed shield consists of an array of elements that represent conductive or non-conductive part...
详细信息
ISBN:
(数字)9781665409292
ISBN:
(纸本)9781665409292
The paper deals with the shielding enclosure design using evolutionary algorithms without predetermined conditions. The designed shield consists of an array of elements that represent conductive or non-conductive parts. The expected output is to design a shield with sufficient balance between shielding effectiveness and transparency in systems that need an optical line of sight. The wide frequency transparent shielding design is a complex task that researchers so far mostly solved by composite polymers. The authors use a different approach using traditional conductive material and element folding technology. Element assembly is performed by an evolutionary algorithm that decides the properties of the material used and creates the optimal structure to achieve the desired results. The paper describes the design concept for planar shielding with metaheuristics and the preliminary results.
This paper considers the problem of scheduling part families and jobs within each part family in a flowshop manufacturing cell with sequence dependent family setups times where it is desired to minimize the makespan w...
详细信息
This paper considers the problem of scheduling part families and jobs within each part family in a flowshop manufacturing cell with sequence dependent family setups times where it is desired to minimize the makespan while processing parts (jobs) in each family together. Two evolutionary algorithms-a Genetic Algorithm and a Memetic Algorithm with local search-are proposed and empirically evaluated as to their effectiveness in finding optimal permutation schedules. The proposed algorithms use a compact representation for the solution and a hierarchically structured population where the number of possible neighborhoods is limited by dividing the population into clusters. In comparison to a Multi-Start procedure, solutions obtained by the proposed evolutionary algorithms were very close to the lower bounds for all problem instances. Moreover, the comparison against the previous best algorithm, a heuristic named CMD, indicated a considerable performance improvement. (c) 2005 Elsevier Ltd. All rights reserved.
In this paper, the calculation of aircraft trimming process is presented in a sufficiently understandable way using a unique combination of global optimization theory, and the direct hand-on computer simulation. The m...
详细信息
ISBN:
(纸本)9788021436756
In this paper, the calculation of aircraft trimming process is presented in a sufficiently understandable way using a unique combination of global optimization theory, and the direct hand-on computer simulation. The methods of artificial intelligence and heuristic algorithms handling with the equations of airplane motion are presented in this paper. The main aim was to use them for trimming the flying aircraft to the steady state flight upon setting the flight conditions of various kinds. New approach of SOMA (Self Organizing Migrating Algorithm) has been used here to find the vehicle equilibrium state. The method can be practically utilized in construction of airplanes as well as the flight simulators design.
Telecommunications are an important symbol of our present information society. With a rapidly growing number of user services, Telecommunications is a field in which many open research lines are challenging the resear...
详细信息
ISBN:
(纸本)1424400872
Telecommunications are an important symbol of our present information society. With a rapidly growing number of user services, Telecommunications is a field in which many open research lines are challenging the research community. Many of the problems found in this area can be formulated as optimization tasks. Some examples are assigning frequencies in radio link communications, developing error correcting codes for transmission of messages, and designing the telecommunication network. In practice, most of these optimization tasks are unaffordable with exact techniques. Hence, the utilization of heuristic approaches is in order. In this sense, evolutionary algorithms have constituted a popular choice. This paper summarizes some applications of the telecommunication field in which evolutionary algorithms have been successfully applied.
In this paper the concept of multidimensional discrete spectral measure is introduced in the context of its application to real-valued evolutionary algorithms. The notion of discrete spectral measure makes possible to...
详细信息
ISBN:
(纸本)9783642132315
In this paper the concept of multidimensional discrete spectral measure is introduced in the context of its application to real-valued evolutionary algorithms. The notion of discrete spectral measure makes possible to uniquely define a class of multivariate heavy-tailed distributions, that have received more and more attention of evolutionary optimization cornmynity recently. Simple sample illustrates advantages of such approach.
The task of reasoning with fuzzy description logics with fuzzy quantification is approached by means of all evolutionary algorithm. An essential ingredient of the proposed method is a heuristic, implemented its art in...
详细信息
ISBN:
(纸本)9781595936974
The task of reasoning with fuzzy description logics with fuzzy quantification is approached by means of all evolutionary algorithm. An essential ingredient of the proposed method is a heuristic, implemented its art intelligent mutation operator, which observes the evolutionary process and uses the information gathered to guess at the mutations most likely to bring about all improvement of the solutions. The viability of the method is demonstrated by applying it to reasoning oil a resource sheduling problem.
This paper surveys the various approaches used to apply evolutionary algorithms to develop artificial neural networks that solve pattern recognition, classification, and other tasks. These approaches are classified in...
详细信息
ISBN:
(纸本)0819462845
This paper surveys the various approaches used to apply evolutionary algorithms to develop artificial neural networks that solve pattern recognition, classification, and other tasks. These approaches are classified into four groups, each addressing one aspect of an artificial neural network: (a) evolving connection weights;(b) evolving neural architectures;(c) evolving an ensemble of networks;and (d) evolving node functions. Hybrid approaches are also discussed.
In this work, considering the solution of analog filter approximation problem, evolutionary algorithms are used to obtain nth order transfer functions. Coefficients of denominator polynomial of low pass analog filter ...
详细信息
ISBN:
(纸本)9781479948741
In this work, considering the solution of analog filter approximation problem, evolutionary algorithms are used to obtain nth order transfer functions. Coefficients of denominator polynomial of low pass analog filter are optimized and this process is carried out for three different orders of transfer functions. Simulation results show that error values obtained with evolutionary algorithms are less than that of traditional methods. The feasibility of the proposed method on circuit realization is investigated by designing passive and active analog filter circuits which realize 3rd order transfer function.
One name that comes to mind in connection with the word evolution is Darwin. One evolutionist however, who is rarely talked about, especially in the Artificial Intelligence community, is Peirce. The Darwinian model is...
详细信息
ISBN:
(纸本)9781424418220
One name that comes to mind in connection with the word evolution is Darwin. One evolutionist however, who is rarely talked about, especially in the Artificial Intelligence community, is Peirce. The Darwinian model is based on the concepts of absolute chance, mechanistic laws, and inexplicable interaction between the two. In contrast, Peirce's framework posits a dynamic interaction between possibility, necessity and regularity to describe the process of evolution. The theory of evolution proposed by Peirce is superior to the one proposed by Darwin because it is more general and it has greater explanatory power. Peirce's insights are significant enough to be used to improve the existing evolutionary algorithms. It was observed during our literature review that almost all evolutionary algorithms are fundamentally based on Darwinian principles of evolution. The present paper highlights the differences between Darwinian and Peircian evolutionary theories and provides the theoretical foundation for developing a novel Peirce based evolutionary Algorithm. Preliminary experiments have been conducted and results seem very promising.
The testing process of electronic control units (ECU) is time-consuming and cost-intensive. Virtual electronic control units (vECU) can solve these problems and also offer the advantage of a variety of observation poi...
详细信息
ISBN:
(纸本)9781728153650
The testing process of electronic control units (ECU) is time-consuming and cost-intensive. Virtual electronic control units (vECU) can solve these problems and also offer the advantage of a variety of observation points that are not available with classical ECUs. The additional observation points can be memory access or instruction monitoring. This paper shows a novel possibility to use evolutionary algorithms, which employ the observation points, to generate new test cases for safety and IT-security in automotive systems. The novel test cases and their ability to detect error classes are described in detail. It is shown, that evolutionary test methods are able to detect different error classes. However the evolutionary methods cannot detect all given error classes within one method. Hence, a combination of different tests methods is needed.
暂无评论