Results 91 to 100 of about 21,806 (260)
A test problem for visual investigation of high-dimensional multi-objective search [PDF]
, 2014 An inherent problem in multiobjective optimization is that the visual observation of solution vectors with four or more objectives is infeasible, which brings major difficulties for algorithmic design, examination, and development.
Yang, S +9 more
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Energy Science &Engineering, EarlyView.To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang +3 more
wiley +1 more source
A Stochastic Multiobjective Optimization Framework for Wireless Sensor Networks
EURASIP Journal on Wireless Communications and Networking, 2010 In wireless sensor networks (WSNs), there generally exist many different objective functions to be optimized. In this paper, we propose a stochastic multiobjective optimization approach to solve such kind of problem.
Shibo He +5 more
doaj +1 more source
MULTIOBJECTIVE OPTIMIZATION (MOO) IN PRIVATIZATION
Journal of Business Economics and Management, 2004 Deregulation of public enterprises and services by privatization is very fashionable nowadays. The aim of privatization is mainly to increase effectiveness, while the government itself likes to maximize its revenue at the occasion of the takeover.
openaire +5 more sources
Adaptive Fuzzy Energy Management of Wind‐Battery Systems With Flexible Desalination Load
Energy Science &Engineering, EarlyView.An adaptive fuzzy energy management strategy is proposed for a wind‐battery‐powered reverse osmosis desalination system. The controller dynamically adjusts the desalination load based on wind power availability and the battery state of charge to reduce battery stress.
Mustafa Fadel +3 more
wiley +1 more source
Fuzzy clustering of univariate and multivariate time series by genetic multiobjective optimization [PDF]
Given a set of time series, it is of interest to discover subsets that share similar properties. For instance, this may be useful for identifying and estimating a single model that may fit conveniently several time series, instead of performing the usual
S. Bandyopadhyay, R. Baragona, U. Maulik
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Industrial water management by multiobjective optimization: from individual to collective solution through eco-industrial parks. [PDF]
, 2012 Industrial water networks are designed in the first part by a multiobjective optimization strategy, where fresh water, regenerated water flow rates as well as the number of network connections (integer variables) are minimized.
Montastruc, Ludovic +9 more
core +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, EarlyView.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
Tuning PID Controller Using Multiobjective Ant Colony Optimization
Applied Computational Intelligence and Soft Computing, 2012 This paper treats a tuning of PID controllers method using multiobjective ant colony optimization. The design objective was to apply the ant colony algorithm in the aim of tuning the optimum solution of the PID controllers (Kp, Ki, and Kd) by minimizing ...
Ibtissem Chiha +2 more
doaj +1 more source
Decision support for build-to-order supply chain management through multiobjective optimization
, 2010 This paper aims to identify the gaps in decision-making support based on multiobjective optimization for build-to-order supply chain management (BTOSCM).
Gallear, D, Mansouri, A, Askariazad, M
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