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Bridging Theory and Practice in Evolutionary Computation?

Published: 30 August 2023 Publication History

Abstract

Evolutionary computation methods are successfully applied to solve a broad range of industrial and academic optimization problems. Most of these problems are far too complex to be analyzed analytically. Runtime analysis, a central topic in the theory of evolutionary computation, is therefore typically restricted to structurally simple artificial optimization tasks. In this presentation, I will discuss various ways in which we can nevertheless "bridge the gap" between theory and practice in evolutionary computation.

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cover image ACM Conferences
FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms
August 2023
169 pages
ISBN:9798400702020
DOI:10.1145/3594805
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 August 2023

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  1. Evolutionary computation
  2. industrial problems
  3. runtime analysis

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FOGA '23
Sponsor:
FOGA '23: Foundations of Genetic Algorithms XVII
August 30 - September 1, 2023
Potsdam, Germany

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Overall Acceptance Rate 72 of 131 submissions, 55%

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