Metaheuristic, Mathematical optimization, Firefly algorithm, Algorithm and Artificial intelligence are his primary areas of study. Xin-She Yang has researched Metaheuristic in several fields, including Cuckoo search, Optimization problem, Multi-swarm optimization and Particle swarm optimization. His Mathematical optimization study combines topics from a wide range of disciplines, such as Chaotic and Benchmark.
His Firefly algorithm research includes elements of Nonlinear programming, Nonlinear system, Algorithm design, Nature inspired algorithm and Continuous optimization. His Algorithm research incorporates elements of Genetic algorithm and Heuristic. His Artificial intelligence research incorporates themes from Swarm intelligence, Machine learning and Bat algorithm.
Xin-She Yang focuses on Mathematical optimization, Metaheuristic, Artificial intelligence, Algorithm and Firefly algorithm. His research integrates issues of Nonlinear system and Benchmark in his study of Mathematical optimization. His Metaheuristic research is multidisciplinary, incorporating elements of Particle swarm optimization, Cuckoo search and Bat algorithm.
His Artificial intelligence research is multidisciplinary, relying on both Swarm intelligence and Machine learning. With his scientific publications, his incorporates both Algorithm and Pollination. By researching both Firefly algorithm and Firefly protocol, Xin-She Yang produces research that crosses academic boundaries.
The scientist’s investigation covers issues in Optimization problem, Swarm intelligence, Mathematical optimization, Metaheuristic and Algorithm. His biological study spans a wide range of topics, including Harmony search, Stability, Metaheuristic optimization, Robot and Nonlinear system. The Swarm intelligence study combines topics in areas such as Swarm robotics, Computational intelligence and Premature convergence.
His work in the fields of Bat algorithm, Firefly algorithm and Combinatorial optimization overlaps with other areas such as Key. His Metaheuristic research is within the category of Artificial intelligence. His work on Cuckoo search and Local search as part of his general Algorithm study is frequently connected to Pollination, thereby bridging the divide between different branches of science.
His primary scientific interests are in Optimization problem, Swarm intelligence, Mathematical optimization, Metaheuristic and Algorithm. His work deals with themes such as Stability and Behavioral pattern, which intersect with Optimization problem. His Swarm intelligence research integrates issues from Swarm robotics, Robot, Swarm behaviour and Computational intelligence.
His Metaheuristic study introduces a deeper knowledge of Artificial intelligence. When carried out as part of a general Algorithm research project, his work on Continuous optimization is frequently linked to work in Pollination, therefore connecting diverse disciplines of study. His studies in Firefly algorithm integrate themes in fields like Point, Analysis of algorithms and Benchmark.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Cuckoo Search via Lévy flights
Xin-She Yang;Suash Deb.
nature and biologically inspired computing (2009)
Nature-Inspired Metaheuristic Algorithms
A New Metaheuristic Bat-Inspired Algorithm
Firefly algorithms for multimodal optimization
international conference on stochastic algorithms foundations and applications (2009)
Engineering optimisation by cuckoo search
Xin She Yang;Suash Deb.
International Journal of Mathematical Modelling and Numerical Optimisation (2010)
Firefly algorithm, stochastic test functions and design optimisation
International Journal of Bio-inspired Computation (2010)
Engineering Optimization: An Introduction with Metaheuristic Applications
Flower pollination algorithm for global optimization
international conference on unconventional computation (2012)
Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
Amir Hossein Gandomi;Xin-She Yang;Amir Hossein Alavi.
Engineering With Computers (2013)
Bat algorithm: a novel approach for global engineering optimization
Xin‐She Yang;Amir Hossein Gandomi.
Engineering Computations (2012)
Profile was last updated on December 6th, 2021.
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