Optimization strategies for dynamic systems. CERVANTES A M,BIEGLER L T. Encyclopedia of optimization . 2000Cervantes, A.; Biegler, L.T. Optimization Strategies for Dynamic Systems. In Encyclopedia of Optimization; Floudas, C., Pardalos, P., Eds.; Kluwer Academic Publishers: Plymouth, MA, USA,...
In the field of control, severalapproaches are used to design control strategies for dynamic systems. These include classic control methods such as PID control, as well as modern techniques such as model-based control, adaptive control, and robust control. Model-based control, for example, ...
Following on the popularity of dynamic simulation for process systems, dynamic optimization has been identified as an important task for key process applications. In this study, we present an improved algorithm for simultaneous strategies for dynamic optimization. This approach addresses two important issu...
In the method, three immigrant strategies are generalized and integrated into NSGA2 for DMOPs. This type of methods is more applicable to DMOPs with highly frequent and small changes [19]. Maintain the diversity of population during the search process: These methods do not maintain diversity ...
Assessment of renewable energy-based strategies for net-zero energy communities: A planning model using multi-objective goal programming. Journal of Cleaner Production, 272: 122886 Article Google Scholar Bakirtzis G A, Biskas P N, Chatziathanasiou V (2012). Generation expansion planning by MILP ...
Combinatorial optimization strategies can be implemented to generate various combinations of genes and regulators in one cloning reaction cocktail. The in vivo and ex vivo systems require cellular lysate, transcription and translation factors72 to express different subunits of a large protein complex from...
The major challenge in devising such strategies is that the input task arri... SK Shukla,RK Gupta 被引量: 74发表: 2001年 Dynamic Power Management with Hybrid Power Sources DPM (Dynamic Power Management) is an effective technique for reducingtheenergyconsumptionofembeddedsystemsthatisbased on ...
Algorithm (GA)17is inspired by evolution, and achieves a lot of success in solving optimization problems in many fields. With the growing popularity of GA, many evolutions-based algorithms are proposed in the literature, including Evolutionary Programming (EP)18, and Evolutionary Strategies (ES)19...
MFMs are presented in “Multi-fidelity management” section, ROMs in “Surrogate modeling for full-field computations” section, and finally, vectorial MFMs based on ROMs in “Multi-fidelity reduced-order methods” section. For each surrogate, the corresponding adaptive sampling strategies are ...
Energy Management Strategies for Optimization of Energy Storage in Wind Power Hybrid System Wind energy has become the most promising alternate energy source and has reached high levels of penetration in many networks worldwide. Energy storage can... C Abbey,G Joos - IEEE Power Electronics Specialis...