Results 31 to 40 of about 66,012 (265)

A multifidelity multiobjective optimization framework for high-lift airfoils [PDF]

, 2016
High-lift devices design is a challenging task as it involves highly complex flow features while being critical for the overall performance of the aircraft.
Demange, Jean, Kipouros, Timoleon, Savill, Mark A.   +2 more
core   +1 more source

Version [2.0] — [pyMCMA: Uniformly distributed Pareto-front representation]

SoftwareX
pyMCMA is the Python implementation of a novel method for autonomous computation of the Pareto-front representation composed of efficient solutions distributed uniformly in terms of the distances between neighbor Pareto solutions.
Marek Makowski, Janusz Granat, Andrii Shekhovtsov, Zbigniew Nahorski, Jinyang Zhao   +4 more
doaj   +1 more source

Dynamic selection of a video content adaptation strategy from a Pareto front [PDF]

, 2008
This article is available open access through the publisher’s website through the link below. Copyright @ 2008 The Authors.Genetic Algorithms may be used together with Pareto Optimality in the process of selection of a suitable video content adaptation ...
Angelides, MC, Sofokleous, AA
core   +1 more source

Pareto-optimal front generation for the bi-objective JIT scheduling problems with a piecewise linear trade-off between objectives

Operations Research Perspectives
This paper proposes a novel method of Pareto front generation from a set of piecewise linear trade-off curves typically encountered in bi-objective just-in-time (JIT) scheduling problems. We have considered the simultaneous minimization of total weighted
Sona Babu, B.S. Girish
doaj   +1 more source

Multi-Objective Feature Selection Method Based on Hybrid MI and PSO Algorithm

Jisuanji kexue yu tansuo, 2020
Feature selection is an important pre-processing in data mining, due to a lot of redundant and irrelevant features in datasets. A filter-wrapper multi-objective feature selection method based on hybrid mutual information and particle swarm optimization ...
WANG Jinjie, LI Wei
doaj   +1 more source

Towards efficient multiobjective optimization: multiobjective statistical criterions [PDF]

, 2012
The use of Surrogate Based Optimization (SBO) is widely spread in engineering design to reduce the number of computational expensive simulations. However, "real-world" problems often consist of multiple, conflicting objectives leading to a set of ...
Couckuyt, Ivo, Deschrijver, Dirk, Dhaene, Tom   +2 more
core   +2 more sources

Learning and Selection of Pareto Optimal Policies Matching User Preferences

IEEE Access
Reinforcement learning, which is attracting attention as a method for optimizing sequential decision-making, primarily focuses on scenarios with a single objective.
Akinori Tamura, Sachiyo Arai
doaj   +1 more source

A multiobjective optimization approach to statistical mechanics [PDF]

, 2015
Optimization problems have been the subject of statistical physics approximations. A specially relevant and general scenario is provided by optimization methods considering tradeoffs between cost and efficiency, where optimal solutions involve a ...
Seoane, Luís F., Solé, Ricard V.
core  

Additive Manufacturing of NiTi Shape Memory Alloys for Elastocaloric Applications: A Review

Advanced Functional Materials, EarlyView.
Additive manufacturing enables complex NiTi architectures that overcome key limitations in elastocaloric refrigeration, including poor heat transfer and high mechanical work input. This review surveys recent advances in LPBF‐ and DED‐fabricated NiTi shape memory alloys for elastocaloric applications, highlighting process–structure–performance ...
Ignatius Andre Setiawan, Mohammad Mehrali, Jaka Tušek, Shiva Mohajerani, Xiebin Wang, Dermot Brabazon, Mohammad Elahinia, Mehrshad Mehrpouya   +7 more
wiley   +1 more source

Using Different Approaches to Approximate a Pareto Front for a Multiobjective Evolutionary Algorithm: Optimal Thinning Regimes for Eucalyptus fastigata

International Journal of Forestry Research, 2012
A stand-level, multiobjective evolutionary algorithm (MOEA) for determining a set of efficient thinning regimes satisfying two objectives, that is, value production for sawlog harvesting and volume production for a pulpwood market, was successfully ...
Oliver Chikumbo
doaj   +1 more source