A Genetic Algorithm for Searching Spatial Configurations

Searching for Features using a Genetic Algorithm

Automatic classification of words use abstract representations of lexical items. The representations are usually not easily derived from the data available (strings of letters). This is a core problem in nearest neighbor methods. This article describes research towards a genetic algorithm for inventing features of relevance for automatic word classification. The GA attempts to optimize a repres...

A Content-Based Approach to Searching and Indexing Spatial Configurations

A constant challenge of current spatial information systems i s the retrieval of spatial configurations. This paper describes a new approach to retrieving spatial information whose novelty lies in using a content measure of topological relations to search and index spatial configurations. This approach uses a tree-based schema to index relations between objects’ minimum bounding rectangles, it ...

A Novel Technique for Steganography Method Based on Improved Genetic Algorithm Optimization in Spatial Domain

This paper devotes itself to the study of secret message delivery using cover image and introduces a novel steganographic technique based on genetic algorithm to find a near-optimum structure for the pair-wise least-significant-bit (LSB) matching scheme. A survey of the related literatures shows that the LSB matching method developed by Mielikainen, employs a binary function to reduce the numbe...

A genetic algorithm approach for problem

In this paper, a genetic algorithm is presented for an identical parallel-machine scheduling problem with family setup time that minimizes the total weighted flow time ( ). No set-up is necessary between jobs belonging to the same family. A set-up must be scheduled when switching from the processing of family i jobs to those of another family j, i  j, the duration of this set-up being the sequ...

A genetic algorithm for designing optimal patch configurations in GIS