HC12 swMATH ID: 3288 Software Authors: Matousek, Radomil Description: HC12: highly scalable optimisation algorithm In engineering as well as in non-engineering areas, numerous optimisation problems have to be solved using a wide range of optimisation methods. Soft-computing optimisation procedures are often applied to problems for which the classic mathematical optimisation approaches do not yield satisfactory results. In this paper we present a relatively new optimisation algorithm denoted as HC12 and demonstrate its possible parallel implementation. The paper aims to show that HC12 is highly scalable and can be implemented in a cluster of computers. As a practical consequence, the high scalability substantially reduces the computing time of optimisation problems. Homepage: http://rd.springer.com/chapter/10.1007%2F978-3-642-12538-6_15 Related Software: GAHC; Simulink; MersenneTwister Cited in: 5 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year HC12: highly scalable optimisation algorithm. Zbl 1198.90410Matousek, Radomil 2010 all top 5 Cited by 9 Authors 3 Senkerik, Roman 2 Matousek, Radomil 2 Oplatkova, Zuzana Kominkova 2 Pluhacek, Michal 2 Zelinka, Ivan 1 Chadli, Mohammed 1 Davendra, Donald 1 Lampinen, Jouni A. 1 Minar, Petr Cited in 1 Serial 1 Computers & Mathematics with Applications Cited in 4 Fields 3 Systems theory; control (93-XX) 1 Dynamical systems and ergodic theory (37-XX) 1 Statistics (62-XX) 1 Operations research, mathematical programming (90-XX) Citations by Year