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The Influence of Heredity Models on Adaptability in Evolutionary Swarms

Evolutionary systems can be very adaptable to dynamic environments. If the systems input changes, it either has to remember or (re-)invent an efficient behavior fitting to a new or recurring situation. In this study we propose a haplodiploid system where haploid agents have one set of properties and diploid agents have two sets of properties. In the studied system agents process tasks which add to their fitness values. Once their fitness values exceed a certain threshold, they pass a copy of their property set to randomly chosen other agents. The agents property set defines the fitness value it gains by processing a task. Diploid agents apply the property set providing the higher fitness. While haploid agents enforce a fast and straight forwards adaptation and convergence, diploid agents maintain a higher diversity in the system. However, mixed systems are most suitable in highly dynamic environments. The focus of our simulation experiments is the adaptability of systems with specific distributions of haploids and diploids in various dynamic environments.