"The Global Optimization Toolbox for Maple provides a widely applicable, fully integrated development environment that can support control engineering applications and help realize the significant potential that global optimization has as a valuable tool in control system design."
Dr. Didier Henrion
LAAS-CNRS, Toulouse, France
Read his full review in IEEE Control Systems Magazine
View other reviews & testimonials
Optimization is the science of finding decisions that satisfy given constraints, and meet a specific goal at its optimal value. In engineering, constraints may arise from physical limitations and technical specifications; in business, constraints are often related to resources, including manpower, equipment, costs, and time.
The objective of global optimization is to find the "best possible" solution in nonlinear decision models that frequently have a number of sub-optimal (local) solutions. Multi-extremal optimization problems can be very difficult. To obtain a high quality numerical solution, a global "exhaustive" search approach is necessary. In the absence of global optimizat
ion tools, engineers and researchers are often forced to settle for feasible solutions, often neglecting the optimum values. In practical terms, this implies inferior designs and operations, and related expenses in terms of reliability, time, money, and other resources.
Using the Global Optimization Toolbox, you can formulate optimization models easily inside the powerful Maple numeric and symbolic system, and then use world-class optimization technology to return the best answer robustly and efficiently.