Get Analysis and Verification of Multiple-Agent Languages: 5th PDF

By F. Nielson, P. Cousot, M. Dam, P. Degano (auth.), Mads Dam (eds.)

ISBN-10: 3540625038

ISBN-13: 9783540625032

This publication originates from the fifth LOMAPS Workshop on research and Verification of Multiple-Agent Languages, held in Stockholm, Sweden, in June 1996. LOMAPS is an ESPRIT venture dedicated to application research and verification suggestions appropriate to rising multi-paradigm programming languages.
The quantity provides 14 revised complete papers chosen from the workshop submissions including four invited contributions; additionally integrated is an introductory assessment surveying the cutting-edge within the zone and placing the contributions into this context.

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Additional info for Analysis and Verification of Multiple-Agent Languages: 5th LOMAPS Workshop Stockholm, Sweden, June 24–26, 1996 Selected Papers

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They include diversity measures in both genotypic space and phenotypic space. , [1]). Genotypic measures are much more common. , [3]). Pair-wise Hamming distance H of P strings of length L is defined as: j=P −1 j =P H= i=L ( j=1 |yij − yij |) (1) j =j+1 i=1 where yij , yij ∈ {0, 1} and the generalized notation, k=M −1 k =M f (xk , xk ) k=1 k =k+1 P. Collet et al. ): EA 2001, LNCS 2310, pp. 31–41, 2002. W. A. De Jong is the sum of the results of the application of f (xk , xk ) to all pair-wise combinations the members xk and xk of a given population of size M .

Figure 6 provides the sum of the pair-wise distances of each column, and Figure 7 provides the sum of the variances of each column. As can be seen in Figure 3, the population has lost nearly all of its diversity by generation 16. The three diversity measures provide somewhat different views of this loss of diversity, with the column variances (Figure 7) most clearly indicating population convergence, while the low-order bit differences cause the genotypic space pair-wise Hamming distance measure (Figure 5) to indicate more diversity than is present in phenotypic space.

Of the second Int. Conf. on Genetic Algorithms, pages 41–49, Hillsdale, NJ, 1987. Lawrence Erlbaum Assoc. 2. Kalyanmoy Deb and David E. Goldberg. An investigation of niche and species formation in genetic function optimization. In James D. Schaffer, editor, Proc. of the Third Int. Conf. on Genetic Algorithms, pages 42–50, San Mateo, CA, 1989. Morgan Kaufmann. 3. Carlos M. Fonseca and Peter J. Fleming. An overview of evolutionary algorithms in multiobjective optimization. Evolutionary Computation, 3(1):1–16, 1995.

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Analysis and Verification of Multiple-Agent Languages: 5th LOMAPS Workshop Stockholm, Sweden, June 24–26, 1996 Selected Papers by F. Nielson, P. Cousot, M. Dam, P. Degano (auth.), Mads Dam (eds.)


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