J
Jonathan E. Rowe
Researcher at University of Birmingham
Publications - 118
Citations - 3483
Jonathan E. Rowe is an academic researcher from University of Birmingham. The author has contributed to research in topics: Crossover & Population. The author has an hindex of 25, co-authored 115 publications receiving 3338 citations. Previous affiliations of Jonathan E. Rowe include University of Buckingham & State University of New York System.
Papers
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BookDOI
Parallel Problem Solving from Nature - PPSN VIII
Xin Yao,Edmund K. Burke,Jose A. Lozano,James C. Smith,Juan J. Merelo-Guervós,John A. Bullinaria,Jonathan E. Rowe,Peter Tiňo,Ata Kabán,Hans-Paul Schwefel +9 more
Book
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Colin R. Reeves,Jonathan E. Rowe +1 more
TL;DR: This chapter discusses GAs as Markov processes as well as the Dynamical Systems Model, which helps clarify the role of language in the development of GA performance.
Journal ArticleDOI
The choice of the offspring population size in the (1,λ) evolutionary algorithm
Jonathan E. Rowe,Dirk Sudholt +1 more
TL;DR: The theory of non-elitist evolutionary algorithms (EAs) is extended by considering the offspring population size in the (1,@l) EA and a sharp threshold is established at @l=log" e"e"-"1n~5log"1"0n between exponential and polynomial running times on OneMax.
Journal ArticleDOI
Molecular circuits for associative learning in single-celled organisms.
Chrisantha Fernando,Anthony Liekens,Lewis E. H. Bingle,Christian Beck,Thorsten Lenser,Dov J. Stekel,Jonathan E. Rowe +6 more
TL;DR: It is demonstrated how a single-celled organism could undertake associative learning within a single cell, and a mathematical model is developed, and simulations show a clear learned response.
Proceedings ArticleDOI
Particle swarm optimization and fitness sharing to solve multi-objective optimization problems
TL;DR: This paper introduces an algorithm that makes use of two main concepts, particle swarm optimization and fitness sharing to tackle multi-objective optimization problems.