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The paper describes an immunogenetic approach to recognize spectra for chemical analysis. In particular, an immunological model for chemical reactions is introduced in which a population of specialists for each of the possible products was evolved using a genetic algorithm. Accordingly, a small well-trained specialist library is established and tested their(More)
Reverse Nearest Neighbors queries has emerged as an important class of queries for spatial and other types of databases. The Rdnn-tree is an R-tree based structure that has been shown to perform outstandingly for such kind of queries. However, one practical problem facing it (as well as other type of indexes) is how to effective construct the index from(More)
Spatial databases have grown in importance in various fields. Together with them come various types of queries that need to be answered effectively. While queries involving single data set have been studied extensively, join queries on multi-dimensional data like the-closest pairs and the nearest neighbor joins have only recently received attention. In this(More)
In this paper we explore t h e problem of approximate nearest neighbor searches. W e propose a n i n d e x structure , t h e A N N-t r e e (approximate nearest neighbor tree) t o solve this problem. T h e A N N-t r e e supports high accuracy nearest neighbor search. T h e actual nearest neighbor of a query point can usually be f o u n d in the first leaf(More)
In this paper, we describe an efficient GA representation scheme for solving the set-partitioning problem (SPP). The SPP is an important class of combinatorial optimization problem that may be found in many industrial/business applications. The paper introduces a group representation scheme in a genetic search where columns of the partition matrix (problem(More)
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