Work

Function evaluations upto 1e+12 and large population sizes assessed in distance-based success history differential evolution for 100-digit challenge and numerical optimization scenarios (DISHchain 1e+12)

Year: 2019

Type: conference-paper

Source: Genetic and Evolutionary Computation Conference Companion (GECCO Companion)

DOI: 10.1145/3319619.3326751

Author: Aleš Zamuda

Institution: University of Maribor

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: European Cooperation in Science and Technology, Javna Agencija za Raziskovalno Dejavnost RS

Awards: Computer Systems, Methodologies, and Intelligent Services, G5782841305

OpenAlex ID: W2960102652

FWCI: 0.401

Cites: 2

Cited by: 8

Related to: 10