Chases and Escapes, and Optimization Problems

12/01/2014
by   Toru Ohira, et al.
0

We propose a new approach for solving combinatorial optimization problem by utilizing the mechanism of chases and escapes, which has a long history in mathematics. In addition to the well-used steepest descent and neighboring search, we perform a chase and escape game on the "landscape" of the cost function. We have created a concrete algorithm for the Traveling Salesman Problem. Our preliminary test indicates a possibility that this new fusion of chases and escapes problem into combinatorial optimization search is fruitful.

READ FULL TEXT

page 1

page 2

page 3

research
02/08/2011

Restructuring in Combinatorial Optimization

The paper addresses a new class of combinatorial problems which consist ...
research
07/20/2020

DeepCO: Offline Combinatorial Optimization Framework Utilizing Deep Learning

Combinatorial optimization serves as an essential part in many modern in...
research
09/09/2019

Combining Learned Representations for Combinatorial Optimization

We propose a new approach to combine Restricted Boltzmann Machines (RBMs...
research
07/02/2013

Submodularity of a Set Label Disagreement Function

A set label disagreement function is defined over the number of variable...
research
01/16/2013

Combinatorial Optimization by Learning and Simulation of Bayesian Networks

This paper shows how the Bayesian network paradigm can be used in order ...
research
08/26/2020

A cost-scaling algorithm for computing the degree of determinants

In this paper, we address computation of the degree deg Det A of Dieudon...
research
12/22/2018

Exploiting Problem Structure in Combinatorial Landscapes: A Case Study on Pure Mathematics Application

In this paper, we present a method using AI techniques to solve a case o...

Please sign up or login with your details

Forgot password? Click here to reset