Results 81 to 90 of about 29,068 (302)
Aplicação de Goal programming em um problema florestal
Ciência Florestal, 2002 The objective of this paper is to apply one of the techniques of multi -objective programming (goal programming) in a Brazilian forest problem, through of a case study accomplished in the Sant a Câ ndida Farm, in General Carneiro, Paraná, Brazil.
Fabiane de Oliveira +2 more
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Advanced Materials, EarlyView.Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
A solving tool for fuzzy quadratic optimal control problems [PDF]
In this paper we propose an iterative method to solve an optimal control problem, with fuzzy target and constraints. The algorithm is developed in such a way as to satisfy the target function and the constraints.
Silvio Giove, Paolo Bortot
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Advanced Materials, EarlyView.Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source
Fuzzy Multi-fractional Programming for Land Use Planning in Agricultural Production System
Fuzzy Information and Engineering, 2014 In this paper, we present a multi-objective linear fractional programming (MOLFP) approach for multi-objective linear fuzzy goal programming (MOLFGP) problem.
Babita Mishra +2 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
A goal programming approach for a joint design of macroeconomic and environmental policies: a methodological proposal and an application to the spanish economy [PDF]
Economic policy needs to pay more attention to environmental issues. This calls for the development of methodologies capable of incorporating environmental as well as macroeconomic goals in the design of public policies.
M. Alejandro Cardenete +2 more
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Additive Manufacturing of Ordered Polymer Nanostructures
Advanced Materials, EarlyView.A new 3D printing strategy, Polymerization‐Induced Arrangement of Nanostructures with Order‐tunability (PIANO), enables the formation of ordered nanostructures in polymer materials by enhancing chain mobility during photopolymerization, overcoming the kinetic arrest that leads to disordered morphologies in the conventional Polymerization‐Induced ...
Di Wu +6 more
wiley +1 more source
Positive multi-criteria models in agriculture for energy and environmental policy analysis [PDF]
Environmental consciousness and accompanying actions have been paralleled by the evolution of multi-criteria methods which have provided tools to assist policy makers in discovering compromises in order to muddle through.
Stelios Rozakis
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Non-linear goal programming using multi-objective genetic algorithms [PDF]
, 1999 Goal programming is a technique often used in engineering design activities primarily to find a compromised solution which will simultaneously satisfy a number of design goals.
Dortmund Univ. (Germany). Sonderforschungsbereich 531 - Design und Management Komplexer Technischer Prozesse und Systeme mit Methoden der Computational Intelligence +1 more
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