无动于衷
发表于 2025-3-23 12:50:16
http://reply.papertrans.cn/67/6676/667570/667570_11.png
Omnipotent
发表于 2025-3-23 15:48:20
Nonlinear Multiobjective Optimization978-3-0348-8280-4Series ISSN 0373-3149 Series E-ISSN 2296-6072
rheumatology
发表于 2025-3-23 21:43:54
International Series of Numerical Mathematicshttp://image.papertrans.cn/n/image/667570.jpg
agonist
发表于 2025-3-23 22:11:57
https://doi.org/10.1007/978-3-0348-8280-4Vector optimization; geometry; homotopy theory; multi-objective optimization; numerical analysis; optimiz
Forsake
发表于 2025-3-24 05:16:55
http://reply.papertrans.cn/67/6676/667570/667570_15.png
synovium
发表于 2025-3-24 09:58:48
Vector Optimization in Industrial Applications, 1988] and ). Instead of listing these quotations here again, we will present the multiobjective problems which originate in optimization applications within the configuration of industrial systems. Subsequently we will discuss in detail two multiobjective problems which arise in the concrete practice of the plant manufacturer SIEMENS.
课程
发表于 2025-3-24 11:42:30
http://reply.papertrans.cn/67/6676/667570/667570_17.png
anaerobic
发表于 2025-3-24 15:54:03
Numerical Results,7.1 an academic example of a vector optimization problem shall be solved numerically. The result of this problem can also be determined in an alternative way, thus enabling a comparison with the result of the developed homotopy method. For the sake of a meaningful graphic illustration we have chosen an example of a bicriterial problem.
ATOPY
发表于 2025-3-24 21:50:34
Principles and Methods of Vector Optimization,Let an operation point or a plant design be characterized by . real-valued variables ..,…,... The variables can be combined to a vector x := (..,…, ..). ∈ ℝ. and are supposed to vary freely within a feasible set . ⊆ ℝ..
侵略主义
发表于 2025-3-24 23:47:34
Homotopy Strategies,In the present chapter we will develop a numerical method which enables us to generate neighboring points on the manifold.starting from a point (.) and thus to explore, step by step, the set of candidates for Pareto optimal points.