Cited by 270Advanced Multi-Objective Optimization AlgorithmsAdvanced Optimization Algorithms ResearchMulti-Criteria Decision Making

Introduction to Multiobjective Optimization: Noninteractive Approaches

Miettinen, Kaisa·2008·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-540-88908-3_1

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Many real-life problems can be characterized as multi-objective problems involving multiple conflicting objectives that should be considered simultaneously.

    “However, many real-life problems can be characterized as multi-objective problems involving multiple conflicting objectives that should be considered simultaneously [51, 52].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Miettinen, K.
Affiliations
University of Jyväskylä (FI)
Corresponding author
Miettinen, Kaisa
Venue
Lecture Notes in Computer Science
Published
2008
Pages
1-26
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2101431131
Cited by
270
References
1
Citations by year
2026: 2 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 12 · 2021: 22 · 2020: 27 · 2019: 22 · 2018: 28 · 2017: 20 · 2016: 24 · 2015: 26 · 2014: 19 · 2013: 15 · 2012: 8
FWCI
7.79
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Multi-Objective Optimization Algorithms
  • Physical Sciences › Mathematics › Numerical Analysis › Advanced Optimization Algorithms Research
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
Keywords
multi-objective optimization, nonlinear programming, Pareto optimal solutions, preference data, decision-makers, solution selection, conflicting objectives

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review