Part II. Future perspective on optimization

Following from part I, which presents a retrospective on optimization, we focus here on areas that are recent active research topics and are likely to strongly influence the future of optimization algorithms and formulations. First, we discuss recent developments in deterministic global optimization algorithms applied to both nonlinear programs and mixed-integer programs. Second, we discuss logic-based optimization and its influence in both modeling and solving mixed-integer optimization problems. Third, we discuss issues and approaches related to large-scale optimization algorithms and applications. Finally, we summarize recent progress in scientific computing and software engineering as applied to optimization applications. © 2004 Elsevier Ltd. All rights reserved.