HackerPapers

arXiv:1705.08691math.OC

General Algorithmic Search

Sergio Hernández, Guillem Duran, José M. Amigó

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

In this paper we present a metaheuristic for global optimization called General Algorithmic Search (GAS). Specifically, GAS is a stochastic, single-objective method that evolves a swarm of agents in search of a global extremum. Numerical simulations with a sample of 31 test functions show that GAS outperforms Basin Hopping, Cuckoo Search, and Differential Evolution, especially in concurrent optimization, i.e., when several runs with different initial settings are executed and the first best wins. Python codes of all algorithms and complementary information are available online.

arXiv comments
12 pages, 2 figures
Journal reference
DOI
Subjects
math.OCOptimization and Control

On Hacker News

Linked by 1 identifiable commenter in 1 comment across 1 thread, from Jul 2017 to Jul 2017.

Comments linking this paper, per year.

Discussed in comments1 thread

  1. Entropy Maximization and intelligent behaviour 1 comment

    • I've been trying to parse this body of work - there doesn't seem to be a writeup on the exact implementation, just that it's using "Causal Entropic Forces". They have this writeup on the optimization implementation here: https://arxiv.org/pdf/1705.08691.pdf One red flag for me…

      highdView on HNParent context

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.