Applied Mathematics

Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org
"Reactive Search Optimization; Application to Multiobjective Optimization Problems"
written by Amir Mosavi, Atieh Vaezipour,
published by Applied Mathematics, Vol.3 No.10A, 2012
has been cited by the following article(s):
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[20] Dynamic Resource Allocation in Cloud Computing
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[21] Reviewing the Novel Machine Learning Tools for Materials Design
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[22] Optimal Design of Electrical Machines: State of the Art Survey
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[24] Comparison of Euler-Bernoulli and Timoshenko Beam Equations for Railway System Dynamics
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[25] DEEP LEARNING: A REVIEW
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[27] Learning and intelligent optimization for computational materials design innovation
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[28] ModeFrontier for the Optimal Design of Electrical Machines
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[29] Integration of Machine Learning and Optimization for Robot Learning
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[30] Learning in Robotics
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[32] Predictive Analytics Using Internet Content: A Review
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[33] Use of Information Technologies in Design and Production Activities of Instrument-Making Plants
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[34] Multi-Objective Evolutionary Optimization of Sandwich Structures: An Evaluation by Elitist Non-dominated Sorting Evolution Strategy
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[35] Multi-objective evolutionary optimization of sandwich structures
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[36] Decision-Making in Complicated Geometrical Problems
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[37] THE PROPER USAGE OF INTUITION IN THE LARGE-SCALE DECISION-MAKING PROBLEMS
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[38] Engineering Design and their Applications
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[39] Brain-computer optimization for solving complicated geometrical decisionmaking problems
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[40] Engineering Design and Decision-Making Models
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[41] Decision-Making and Visualization
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[42] Visual analytics for informed-decisions
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[43] A multicriteria decision making environment for engineering design and production decision-making
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[44] On developing a decision-making tool for general applications to computer vision
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[45] Data mining for decision making in engineering optimal design
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[48] Visual analytics and informed decisions in health and life sciences
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[49] STRUCTURE OF BRAIN; RATIONALITY AND INTUITION
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