Space mission planning and spacecraft design are tightly coupled need to be considered together for optimal performance; however, this integrated optimization problem results in a large-scale mixed-integer nonlinear programming (MINLP) problem, which is challenging solve. In response challenge, paper proposes new solution approach based on decomposition-based via augmented Lagrangian coordinati...

This paper presents a framework to solve the constrained black-box simulation optimization problem that arises from optimal energy-efficient design of single-mixed refrigerant natural gas liquefaction process using reliable simulator. Kriging surrogate model is used introduce simple, computationally inexpensive, and effective algebraic formulations with derivatives objective constraints functio...

This paper presents a problem-independent framework that uni es various mechanisms for solving discrete constrained nonlinear programming (NLP) problems whose functions are not necessarily di erentiable and continuous. The framework is based on the rst-order necessary and su cient conditions in the theory of discrete constrained optimization using Lagrange multipliers. It implements the search ...

Explicit models representing the response variables as functions of control are standard in virtually all scientific fields. For these models, there is a vast literature on optimal design experiments (ODoE) to provide good estimates parameters with use minimal resources. Contrarily, ODoE for implicit more complex and has not been systematically addressed. Nevertheless, practical examples where ...

In theory, a scheduling problem can be formulated as a mathematical programming problem. In practice, dispatching rules are considered to be a more practical method of scheduling. However, the combination of mathematical programming and fuzzy dispatching rule has rarely been discussed in the literature. In this study, a fuzzy nonlinear programming (FNLP) approach is proposed for optimizing the ...

Tujuan penelitian ini yaitu untuk menemukan kebenaran melalui penerapan neuro linguistic programming dalam kecerdasan emosional dapat meningkatkan keberhasilan siswa. Hasil best practices adalah kualitatif dari hasil atau efek perubahan tingkah laku pada siswa, dan kuantitatif mengukur bidang akademiknya yang merupakan pengaruh siswa.Pelaksanaan seluruh siswa kelas VI C sendiri setiap hari saya...

More and more disciplines require NLP tools for performing automatic text analyses on various levels of linguistic resolution. However, the usage of established NLP frameworks is often hampered for several reasons: in most cases, they require basic to sophisticated programming skills, interfere with interoperability due to using non-standard I/O-formats and often lack tools for visualizing comp...

This paper relates the Defeasible Logic Programming (DeLP ) framework and its semantics SEMDeLP to classical logic programming frameworks. In DeLP we distinguish between two different sorts of rules: strict and defeasible rules. Negative literals ( A) in these rules are considered to represent classical negation. In contrast to this, in normal logic programming (NLP ), there is only one kind of...

This paper presents an efficient observation concerning the enhancement of smart grid (SG) based on optimal placement phasor measurement units (OPP) using nonlinear programming (NLP). The proposed algorithm tries to achieve two objectives: (i) ascertain minimum number (PMUs) and (ii) increase redundancy SG at all buses. Synchronized current voltage phasors are obtained enhance accuracy state es...