This study proposes a sampling method based on the search process of genetic algorithm and a space modeling method based on least-squares approximation using ...

Abstract. To model a numerical problem space under the limi- tation of available data, we need to extract sparse but key points from the space and to ...

extraction of those building blocks sampled most highly by the GA during the search process and to exploit these building blocks in the justification of the ...

In this paper we describe a Genetic Algorithm for document clustering that includes a sampling technique to reduce computation time.

This work presents a method of search space reduction applied to the rehabilitation of drainage networks.

Aug 28, 2022 · In this paper, a hierarchical key point extraction framework is proposed to solve the problem of modeling the local geometric structure between points.

However, we discuss several algorithms (random search, stochastic approximation, and genetic algorithms) that are sometimes able to find global solutions from ...

A genetic algorithm (GA) approach is presented to select a set of features to discriminate the targets from the natural clutter false alarms in SAR images.

Jun 7, 2016 · We propose using a genetic algorithm as a function approximator. Our attempt will focus on using the polynomial form of the approximation.

A genetic algorithm (GA) approach is presented to select a set of features to discriminate the targets from the natural clutter false alarms in. SAR images.