Novelty search is an algorithm which proposes open-ended exploration of the search space by maximising behavioural novelty, removing the need for an objective fitness function. However, we show that when applied to complex tasks, training through novelty alone is not sufficient to produce useful controllers. Alongside this, the definition of phenotypic behaviour significantly effects the strate...

Coevolution is a natural approach to evolve teams of agents which must cooperate to achieve some system objective. However, in many coevolutionary approaches, credit assignment is often subjective and context dependent, as the fitness of an individual agent strongly depends on the actions of the agents with which it collaborates. In order to alleviate this problem, we introduce a cooperative co...

In this note we measure the interdependency of bits in the encoding of a fitness function using two different invariants. The first invariant, normalized epistasis, features a strong correlation with GA-hardness, as we illustrate here with generalized Royal Road functions. The second one, bit decidability, imitates epistasis, but has the avantage of being less difficult to calculate and approxi...

The nearly optimal, interoperable utilization of various grid resources play an important role in the world of grids. Though well-designed, evaluated and widely used resource brokers have been developed, these existing solutions still cannot cope with the high uncertainty ruling current grid systems. To ease the simultaneous utilization of different middleware systems, researchers need to revis...

In this experiment we are examining the relation of variables including gender, smoking, fitness, and surface area to heart rate and recovery time following exercise. Our study was performed on Pennsylvanian college students with a mean age of 18.83 years old. We discovered that Males always had slower heart rates and quicker recovery times than females except after six minutes of exercise. Ath...

In addition to GA-deception, the lack of fitness differences among low-order schemata can also degrade GA’s search. Therefore, a coding should present adequate superior low-order building blocks at the early stage of search. This paper aims to reveal the inherent periodicity in the search process of a genetic algorithm, and to show how to make use of this periodicity in the design of representa...

In this paper we present some advanced scheduling techniques with a weighted fitness function for an adaptive Meta-Brokering Grid Service using the Pliant system, which enables a higher level utilization of the existing grid brokers. We construct and demonstrate the efficiency of our new algorithms in a grid simulation environment. The results given here demonstrate that the proposed novel sche...

An age-structured model is used to study the possible impact of drug treatment of infections with the human immunodeficiency virus type 1 (HIV-1) on evolution of the pathogen. Inappropriate drug therapy often leads to the development of drug-resistant mutants of the virus. Previous studies have shown that natural selection within a host favors viruses that maximize their fitness. By demonstrati...

We present a spatial, individual-based predator-prey model in which dispersal is dependent on the local community. We determine species suitability to the biotic conditions of their local environment through a time and space varying fitness measure. Dispersal of individuals to nearby communities occurs whenever their fitness falls below a predefined tolerance threshold. The spatiotemporal dynam...

This research presents a method to select an ideal feature subset of original and transformed features. The feature selection method utilizes a genetic wrapper scheme that employs classification accuracy as its fitness function. The feature subset generated by the proposed approach usually contains features produced by different transformation schemes. The selection of transformed features prov...