Evolutionary and genetic algorithms (EAs and GAs) are quite successful randomized function optimizers. This success is mainly based on the interaction of different operators like ...
Abstract. We consider the sequence comparison problem, also known as “hidden pattern” problem, where one searches for a given subsequence in a text (rather than a string unders...
Philippe Flajolet, Yves Guivarc'h, Wojciech Szpank...
This paper addresses the problem of path planning for a class of deformable volumes under fairly general manipulation constraints. The underlying geometric model for the volume is...
Elliot Anshelevich, Scott Owens, Florent Lamiraux,...
We present a brief overview of an algorithm for interactively animating object grasping and manipulation tasks for human figures. The technique is designed to efficiently genera...
A matrix formulation for an adaptive genetic algorithm is developed using mutation matrix and crossover matrix. Selection, mutation, and crossover are all parameter-free in the se...