English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Hundreds of Evolutionary Computation approaches have been reported. From anevolutionary perspective they focus on two fundamental mechanisms: culturalinheritance in Swarm Intelligence and genetic inheritance in EvolutionaryAlgorithms. Contemporary evolutionary biology looks beyond genetic inheritance,proposing a so-called ``Extended Evolutionary Synthesis''. Many concepts fromthe Extended Evolutionary Synthesis have been left out of EvolutionaryComputation as interest has moved toward specific implementations of the samegeneral mechanisms. One such concept is epigenetic inheritance, which isincreasingly considered central to evolutionary thinking. Epigenetic mechanismsallow quick non- or partially-genetic adaptations to environmental changes.Dynamic multi-objective optimisation problems represent similar circumstancesto the natural world where fitness can be determined by multiple objectives(traits), and the environment is constantly changing.  This paper asks if the advantages that epigenetic inheritance provide in thenatural world are replicated in dynamic multi-objective optimisation problems.Specifically, an epigenetic blocking mechanism is applied to a state-of-the-artmulti-objective genetic algorithm, MOEA/D-DE, and its performance is comparedon three sets of dynamic test functions, FDA, JY, and UDF. The mechanism showsimproved performance on 12 of the 16 test problems, providing initial evidencethat more algorithms should explore the wealth of epigenetic mechanisms seen inthe natural world.

The Effect of Epigenetic Blocking on Dynamic Multi-Objective Optimisation Problems