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Evolutionary algorithms in theory and practice
TLDR
In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming within a unified framework, thereby clarifying the similarities and differences of these methods.About:
The article was published on 1996-01-01 and is currently open access. It has received 2679 citations till now. The article focuses on the topics: Evolutionary music & Evolutionary programming.read more
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Optimum tracking with evolution strategies
Dirk V. Arnold,Hans-Georg Beyer +1 more
TL;DR: The present paper investigates the performance of a multiparent evolution strategy that employs cumulative step length adaptation for an optimization task in which the target moves linearly with uniform speed and derives scaling laws that quite accurately describe the behavior of the strategy.
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Designing minimal genomes using whole-cell models
Joshua Rees-Garbutt,Oliver Chalkley,Sophie Landon,Oliver Purcell,Lucia Marucci,Claire S. Grierson +5 more
TL;DR: Computational design-simulate-test algorithms to design minimal genomes based on the whole-cell model of Mycoplasma genitalium are developed, using genome minimisation as a proof-of-concept.
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A novel approach for traffic accidents sanitary resource allocation based on multi-objective genetic algorithms
Manuel Fogue,Piedad Garrido,Francisco J. Martinez,Juan-Carlos Cano,Carlos T. Calafate,Pietro Manzoni +5 more
TL;DR: This paper proposes a novel approach for the sanitary resources allocation in traffic accidents based on the use of multi-objective genetic algorithms, and it is able to generate a list of optimal solutions accounting for the most representative factors.
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Optimization of truss bridges within a specified design domain using evolution strategies
TL;DR: In this article, a design domain approach is employed in conjunction with adaptive evolution strategies to seek the optimal shape and topology configuration of a bridge in a large and flexible design space.
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Least-weight topology and size optimization of high speed vehicle-passenger catamaran structure by genetic algorithm
TL;DR: In this paper, a GA was applied to solve the problem of weight minimization of a high speed vehicle-passenger catamaran structure with several design variables such as dimensions of the plate thickness, longitudinal stiffeners and transverse frames and spacing between longitudinals and transversal members.