Panos M. Pardalos, H. Edwin Romeijn, Hoang Tuy
Recent developments and trends in
global optimization
Many optimization problems in engineering and science require
solutions that are globally optimal. These optimization problems
are characterized by the nonconvexity of the feasible domain or
the objective function and may involve continuous and/or discrete
variables. In this paper we highlight some recent results and
discuss current research trends on deterministic and stochastic
global optimization and global continuous approaches to discrete
optimization.