Competitive co-evolution of trend reversal indicators using particle swarm optimisation

Subjects: “…Evolutionary computation…”
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QoS routing in IP networks using multi-constrained computational methods by Fathelrahman, T. M. (Tayseer)

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Growth-based computer aided design strategies for multimode waveguide design with the aid of functional blocks by Vale, Christopher A. W.

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Simulating recombinant sequence date to evaluate and improve computational methods of multiple sequence alignment and recombinant identification by Swanepoel, Phillip

“…Recombination detection is thus an important computational step in understanding the evolutionary history of nucleotide sequences, and the accurate identification of recombinant sequences is particularly important in the context of downstream phylogenetics-based sequence analyses. …”
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Predictions and Computational Analysis of Novel Chromosomal Type II Toxin Antitoxin Systems in the Human Oral Microbiome by Bazan, Ashraf Abd-el-Raouf

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Development of novel computational tools to infer the distribution patterns of bacterial accessory genomic elements and the implications of microevolution towards pathogenicity

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Development of novel computational tools based on analysis of DNA compositional biases to identify and study the distribution of mobile genomic elements among bacteria

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Parallel likelihood calculations for phylogenetic trees by Hayward, Peter

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A memetic genetic program for knowledge discovery

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Neuro-evolution behavior transfer for collective behavior tasks by Didi, Sabre Z

“…The design of effective, robust and autonomous controllers for multi-agent and multi-robot systems is a long-standing problem in the fields of computational intelligence and robotics. Whilst nature-inspired problem-solving techniques such as reinforcement learning (RL) and evolutionary algorithms (EA) are often used to adapt controllers for solving such tasks, the complexity of such tasks increases with the addition of more agents (or robots) in difficult environments. …”
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Exploring the impact of novelty and objective-directed evolution in company with MAP-Elites and HyperNEAT by Breytenbach, Jeremy

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The impact of behavioural diversity in the evolution of multi-agent systems robust to dynamic environments by Hallauer, Scott

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Genetic dating and pattern of admixture in modern human evolution by Defo, Joel

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Evolving controllable emergent crowd behaviours with Neuro-Evolution by Wang, Sunrise

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Neuro-evolution search methodologies for collective self-driving vehicles by Huang, Chien-Lun Allen

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Scalable hierarchical evolution strategies by Abramowitz, Sasha

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Evolution of sun-shades outside building facades by Coetzee, Leon

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Self-adapting simulated artificial societies by Gower-Winter, Brandon

“…Agent-Based Models (ABM) are computational models that utilize autonomous agents to interact and adapt to the environments in which they occupy. …”
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Advancing environmental, social, and governance outcomes through process optimisation and control

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