This paper presents an improved version of a simple evolution strategy (SES) to solve global nonlinear optimization problems. As its previous version, the approach does not require...
It is typical for the EA community that theory follows experiments. Most theoretical approaches use some model of the considered evolutionary algorithm (EA) but there is also some ...
Patrick Briest, Dimo Brockhoff, Bastian Degener, M...
In this paper we describe a generic library of problemsolving methods (PSMs) for scheduling applications. Although, some attempts have been made in the past at developing librarie...
Dnyanesh G. Rajpathak, Enrico Motta, Zdenek Zdr&aa...
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Many tasks on the semantic web require the user to choose concepts from a limited vocabulary e.g. for describing an indexed resource or for use in semantic search. Semantic autocom...