Keyword

scalarization

Description: Scalarization is a method in vector optimization that converts a problem with multiple objectives into one or more scalar-valued problems.

Primary topic: Optimization and Variational Analysis (37%)

OpenAlex ID: keywords/scalarization

Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms

1994 · N. Srinivas, Kalyanmoy Deb · Evolutionary Computation · 6,931

A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization

2016 · Ran Cheng, Yaochu Jin, et al. · IEEE Transactions on Evolutionary Computation · 1,765

Theory of Multiobjective Optimization

1985 · Mathematics in Science and Engineering/Mathematics in science and engineering · 1,508

Multi-objective Optimization

2013 · Kalyanmoy Deb, Kalyanmoy Deb · Springer eBooks · 1,423

A review of multi-objective optimization: Methods and its applications

2018 · Nyoman Gunantara · Cogent Engineering · 1,146

Theory of Vector Optimization

1989 · Dinh The Luc · Lecture notes in economics and mathematical systems · 920

Theory of Vector Optimization

2003 · Christiane Tammer, Alfred Göpfert · International series in management science/operations research/International series in operations research & management science · 861

Pareto optimality in multiobjective problems

1977 · Yair Censor · Applied Mathematics & Optimization · 513

A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems

2016 · Zesong Fei, Bin Li, et al. · IEEE Communications Surveys & Tutorials · 477

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Nonconvex separation theorems and some applications in vector optimization

1990 · C. Gerth, P. Weidner · Journal of Optimization Theory and Applications · 404

Scalarizing vector optimization problems

1984 · A. Pascoletti, P. Serafini · Journal of Optimization Theory and Applications · 316

Methods for multi-objective optimization: An analysis

2014 · I. Giagkiozis, P.J. Fleming · Information Sciences · 275

Vector Optimization

2010 · Johannes Jahn · Springer eBooks · 273

Vector Variational Inequalities and Vector Equilibria: Mathematical Theories

2011 · F. Giannessi · 234

Degrees of Efficiency and Degrees of Minimality

2003 · Alberto Zaffaroni · SIAM Journal on Control and Optimization · 219

Normalization and Other Topics in MultiObjective Optimization

2006 · Oleg Grodzevich, Oleksandr Romanko · 213

On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization

2017 · Xiaoliang Ma, Qingfu Zhang, et al. · IEEE Transactions on Evolutionary Computation · 199

Super Efficiency in Vector Optimization

1993 · J. M. Borwein, D. Zhuang · Transactions of the American Mathematical Society · 188

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A discussion of scalarization techniques for multiple objective integer programming

2006 · Matthias Ehrgott · Annals of Operations Research · 185

Robust multiobjective optimization & applications in portfolio optimization

2013 · Jörg Fliege, Ralf Werner · European Journal of Operational Research · 180

On the properties of the R2 indicator

2012 · Dimo Brockhoff, Tobias Wagner, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 178

A review of multi-criteria optimization techniques for agricultural land use allocation

2018 · Andrea Kaim, Anna F. Cord, et al. · Environmental Modelling & Software · 172

On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods

2006 · Pradyumn Kumar Shukla, Kalyanmoy Deb · European Journal of Operational Research · 167

Data dependence and its application to parallel processing

1987 · Michael Wolfe, Utpal Banerjee · International Journal of Parallel Programming · 161

Green supply chain design: A mathematical modeling approach based on a multi-objective optimization model

2016 · Kartina Puji Nurjanni, Maria S. Carvalho, et al. · International Journal of Production Economics · 159

Works count: 1,856

Citation count: 37,110