Xin-She Yang

Xin-She Yang is affiliated with Middlesex University in the United Kingdom. Their research primarily focuses on fields within computer science and engineering, with significant contributions to artificial intelligence, electrical and electronic engineering, computational theory and mathematics, civil and structural engineering, and biomedical engineering.

The main topics in their work encompass metaheuristic optimization algorithms research, advanced multi-objective optimization algorithms, evolutionary algorithms and applications, neural networks and applications, drilling and well engineering, tunneling and rock mechanics, and advancements in battery materials.

Frequent coauthors of Xin-She Yang include:

• Nilanjan Dey
• Eneko Osaba
• Tuan Anh Le
• Javier Del Ser
• Simon Sherratt

Their recent papers cover a range of themes in computational science and optimization. Notable publications include:

• "Nature-inspired optimization algorithms: Challenges and open problems" (2020) in Journal of Computational Science
• "Influence of initialization on the performance of metaheuristic optimizers" (2020) in Applied Soft Computing
• "Association of omega 3 polyunsaturated fatty acids with incident chronic kidney disease: pooled analysis of 19 cohorts" (2023) in BMJ
• "Fusing wearable and remote sensing data streams by fast incremental learning with swarm decision table for human activity recognition" (2020) in Information Fusion
• "Traveling salesman problem: a perspective review of recent research and new results with bio-inspired metaheuristics" (2020) in Elsevier eBooks

Xin-She Yang has published extensively in various venues, with frequent publications appearing in:

• arXiv (Cornell University)
• SSRN Electronic Journal
• Journal of Computational Science
• Applied Soft Computing
• Evolutionary Intelligence

Regarding book publications, Xin-She Yang has contributed to several titles predominantly published by Springer International Publishing and Springer Nature, as well as one publication by Elsevier BV. Their books often address topics related to information and communication technology and nature-inspired computation, including:

• Proceedings of Eighth International Congress on Information and Communication Technology (2023)
• Proceedings of Seventh International Congress on Information and Communication Technology (2022)
• Proceedings of Fifth International Congress on Information and Communication Technology (2020)
• Fourth International Congress on Information and Communication Technology (2020)
• Nature-Inspired Computation in Navigation and Routing Problems (2020)
• Intelligent Data Engineering and Analytics (2023)
• Evolution in Computational Intelligence (2023)
• Nature-Inspired Optimization Algorithms (2021, Elsevier BV)