Search Results for author: Donya Yazdani

Found 4 papers, 0 papers with code

On Inversely Proportional Hypermutations with Mutation Potential

no code implementations27 Mar 2019 Dogan Corus, Pietro S. Oliveto, Donya Yazdani

In this paper we prove that considerable speed-ups in the exploitation phase may be achieved with dynamic inversely proportional mutation potentials (IPM) and argue that the potential should decrease inversely to the distance to the optimum rather than to the difference in fitness.

Evolutionary Algorithms

Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NP-Hard Number Partitioning Problem

no code implementations1 Jun 2018 Dogan Corus, Pietro S. Oliveto, Donya Yazdani

In this paper we perform an analysis for the standard NP-hard \partition problem from combinatorial optimisation and rigorously show that hypermutations and ageing allow AISs to efficiently escape from local optima where standard EAs require exponential time.

Evolutionary Algorithms

Fast Artificial Immune Systems

no code implementations1 Jun 2018 Dogan Corus, Pietro S. Oliveto, Donya Yazdani

Various studies have shown that characteristic Artificial Immune System (AIS) operators such as hypermutations and ageing can be very efficient at escaping local optima of multimodal optimisation problems.

Evolutionary Algorithms

When Hypermutations and Ageing Enable Artificial Immune Systems to Outperform Evolutionary Algorithms

no code implementations4 Apr 2018 Dogan Corus, Pietro S. Oliveto, Donya Yazdani

Unless the stop at first constructive mutation (FCM) mechanism is applied, we show that hypermutations require exponential expected runtime to optimise any function with a polynomial number of optima.

Evolutionary Algorithms

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