Genetic recombination is commonly used in evolutionary algorithms and yet its benefits are an open question in evolutionary biology. We investigate when recombination is actually beneficial in the evolutionary adaptation of swarm robot behaviour in dynamic environments. In this scenario, artificial evolution has to deal with challenges that are similar to natural evolution: it must run online, ...

The development of a subgenomic replicon derived from the hepatitis C virus (HCV) strain Con1 enabled the study of viral RNA replication in Huh-7 cells. The level of replication of replicons, as well as full-length Con1 genomes, increased significantly by a combination of two adaptive mutations in NS3 (E1202G and T1280I) and a single mutation in NS5A (S2197P). However, these cell culture-adapti...

An interaction between sex-linked inheritance and sex-biased mutation rates may affect the rate of adaptive evolution. Males have much higher mutation rates than females in several vertebrate and plant taxa. When evolutionary rates are limited by the supply of favorable new mutations, then genes will evolve faster when located on sex chromosomes that spend more time in males. For mutations with...

An Dynamically Quantum Particle Swarm Optimization Algorithm with Adaptive Mutation (AMDQPSO) is given, the algorithm can better adapt to the problem of the complex nonlinear optimization search. The concept of the evolution speed factor and aggregation degree factor are introduced to this algorithm, and the inertia weight was constructed as a function of the evolution speed factor and aggregat...

The aim of this work is to analyze the influence of the representation’s modification on the behaviour of an adaptive representation evolutionary algorithm based only on a mutation operator. A statistical analysis of the mutation properties suggests some strategies for the modification of the representation’s base. The influence of these strategies is numerically analyzed on some classical test...

Bacteria have specific loci that are highly mutable. We argue that the coexistence within bacterial genomes of such 'contingency' genes with high mutation rates, and 'housekeeping' genes with low mutation rates, is the result of adaptive evolution, and facilitates the efficient exploration of phenotypic solutions to unpredictable aspects of the host environment while minimizing deleterious effe...

In this paper, we present a novel hybrid approach combining particle swarm optimization (PSO) and adaptive constraint-handling technique (ACT) for solving constrained numerical and engineering optimization problems. The proposed hybrid approach simultaneously adopts particle swarm optimizer and hybrid mutation operators to generate the offspring population. Additionally, the adaptive constraint...

In a previous theoretical study we investigated whether adaptive or non-adaptive processes are more important in the evolution of senescence. We built a model that combined both processes and found that mutation accumulation is important only at those ages where mortality has a negligible impact on fitness. This model, however, was limited to haploid organisms. Here we extend our model by intro...