Optimisation Techniques
Optimisation techniques and their applications to mathematical and engineering problems have been an active area of research for many years.
Revitalization of earlier methods due to availability of high performance computing, inauguration of novel Optimisation methodologies, as well as continues demand for solving non-linear and complex problems, fierce competition, and cutting edge profit margins in manufacturing and business sectors are raisons d'être that make this subject area a strong and high demand topic for researchers.
Review of evolution of Optimisation Theory and Techniques reveals wide spectrum and diversity of the methodologies in use, such as: Hill Climbing, Simulated Annealing, Tabu Search, Genetic Algorithms, Evolutionary Computing, Ant Colony, Particle Swarm, and Bees Algorithm.
This session invites papers and like minded researchers in the area of Optimisation Theory as well as their applications to mathematical and engineering problems.
