Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 217,273,812 papers from all fields of science
Search
Sign In
Create Free Account
Pareto efficiency
Known as:
Pareto criterion
, Constrained pareto efficiency
, Pareto efficient
Expand
Pareto efficiency, or Pareto optimality, is a state of allocation of resources in which it is impossible to make any one individual better off…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
22 relations
Adjusted winner procedure
Allocative efficiency
Bayesian efficiency
Data envelopment analysis
Expand
Broader (1)
Mathematical optimization
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
Pareto efficient multi-objective test case selection
S. Yoo
,
M. Harman
International Symposium on Software Testing and…
2007
Corpus ID: 5782732
Previous work has treated test case selection as a single objective optimisation problem. This paper introduces the concept of…
Expand
Review
2006
Review
2006
Multi-objective optimization using genetic algorithms: A tutorial
A. Konak
,
D. Coit
,
Alice E. Smith
Reliability Engineering & System Safety
2006
Corpus ID: 44817003
Review
2004
Review
2004
Survey of multi-objective optimization methods for engineering
R. Marler
,
J. Arora
2004
Corpus ID: 14841091
A survey of current continuous nonlinear multi-objective optimization (MOO) concepts and methods is presented. It consolidates…
Expand
Highly Cited
2004
Highly Cited
2004
Handling multiple objectives with particle swarm optimization
C. Coello
,
G. T. Pulido
,
Maximino Salazar Lechuga
IEEE Transactions on Evolutionary Computation
2004
Corpus ID: 10783227
This paper presents an approach in which Pareto dominance is incorporated into particle swarm optimization (PSO) in order to…
Expand
Highly Cited
2002
Highly Cited
2002
A fast and elitist multiobjective genetic algorithm: NSGA-II
K. Deb
,
S. Agrawal
,
Amrit Pratap
,
T. Meyarivan
IEEE Transactions on Evolutionary Computation
2002
Corpus ID: 9914171
Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1…
Expand
Highly Cited
2001
Highly Cited
2001
SPEA2: Improving the strength pareto evolutionary algorithm
E. Zitzler
,
M. Laumanns
,
L. Thiele
2001
Corpus ID: 16584254
The Strength Pareto Evolutionary Algorithm (SPEA) (Zitzler and Thiele 1999) is a relatively recent technique for finding or…
Expand
Highly Cited
2000
Highly Cited
2000
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
K. Deb
,
S. Agrawal
,
Amrit Pratap
,
T. Meyarivan
Parallel Problem Solving from Nature
2000
Corpus ID: 5204258
Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) O…
Expand
Highly Cited
1999
Highly Cited
1999
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
E. Zitzler
,
L. Thiele
IEEE Transactions on Evolutionary Computation
1999
Corpus ID: 9634991
Evolutionary algorithms (EAs) are often well-suited for optimization problems involving several, often conflicting objectives…
Expand
Highly Cited
1998
Highly Cited
1998
Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
Indraneel Das
,
J. Dennis
SIAM Journal on Optimization
1998
Corpus ID: 207081991
This paper proposes an alternate method for finding several Pareto optimal points for a general nonlinear multicriteria…
Expand
Review
1970
Review
1970
Optimal Statistical Decisions
M. Degroot
1970
Corpus ID: 119884967
Foreword.Preface.PART ONE. SURVEY OF PROBABILITY THEORY.Chapter 1. Introduction.Chapter 2. Experiments, Sample Spaces, and…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE