Adaptive search & optimisation
Adaptive black box algorithm harmonises convergence and divergence. It minimises time and use of resources. Current interest - application to delivery optimisation.
World leading knowledge in adaptive heuristic algorithms for search and optimisation.
We are in possession of unique, world leading knowledge in adaptive heuristic algorithms for search and optimisation. We can resolve complex tasks with high number of parameters and constraints. * * * * * * * Synergy Between Convergence and Divergence - Review of Concepts and Methods. LSSC 2021: 250-256 https://link.springer.com/chapter/10.1007/978-3-030-97549-4_29 Precision in High Dimensional Optimisation of Global Tasks with Unknown Solutions. LSSC 2019: 524-529 https://link.springer.com/chapter/10.1007/978-3-030-41032-2_60 Factors for Search Methods Scalability. NMA 2018: 142-149 https://link.springer.com/chapter/10.1007/978-3-030-10692-8_16 Free Search in Multidimensional Space M. LSSC 2017: 399-407 https://link.springer.com/chapter/10.1007/978-3-319-73441-5_43 Free Search in Multidimensional Space III. LSSC 2015: 251-257 https://link.springer.com/chapter/10.1007%2F978-3-319-26520-9_27 Free Search - comparative analysis 100. Int. J. Metaheuristics 3(2): 118-132 (2014) https://www.inderscience.com/info/inarticle.php?artid=63142 Free Search in Multidimensional Space II. NMA 2014: 103-111 https://link.springer.com/chapter/10.1007/978-3-319-15585-2_12 Free Search - a comparative analysis. Inf. Sci. 172(1-2): 173-193 (2005) https://www.sciencedirect.com/science/article/abs/pii/S0020025504002609