Pareto-optimal formulations for cost versus colorimetric accuracy trade-offs in printer color management

2002 ◽  
Vol 21 (2) ◽  
pp. 132-175 ◽  
Author(s):  
D. J. Littlewood ◽  
P. A. Drakopoulos ◽  
G. Subbarayan
Keyword(s):  
Pareto Optimal ◽  
Color Management ◽  
Trade Offs

scholarly journals Balancing ecosystem services with energy and food security – Assessing trade-offs from reservoir operation and irrigation investments in Kenya's Tana Basin

2014 ◽  
Vol 18 (8) ◽  
pp. 3259-3277 ◽  
Author(s):  
A. P. Hurford ◽  
J. J. Harou
Keyword(s):  
Ecosystem Services ◽  
Optimal Allocation ◽  
Search Algorithm ◽  
Management Strategies ◽  
Decision Makers ◽  
Pareto Optimal ◽  
Management Problem ◽  
Economic Sectors ◽  
Trade Off ◽  
Trade Offs

Abstract. Competition for water between key economic sectors and the environment means agreeing allocations is challenging. Managing releases from the three major dams in Kenya's Tana River basin with its 4.4 million inhabitants, 567 MW of installed hydropower capacity, 33 000 ha of irrigation and ecologically important wetlands and forests is a pertinent example. This research seeks firstly to identify and help decision-makers visualise reservoir management strategies which result in the best possible (Pareto-optimal) allocation of benefits between sectors. Secondly, it seeks to show how trade-offs between achievable benefits shift with the implementation of proposed new rice, cotton and biofuel irrigation projects. To approximate the Pareto-optimal trade-offs we link a water resources management simulation model to a multi-criteria search algorithm. The decisions or "levers" of the management problem are volume-dependent release rules for the three major dams and extent of investment in new irrigation schemes. These decisions are optimised for eight objectives covering the provision of water supply and irrigation, energy generation and maintenance of ecosystem services. Trade-off plots allow decision-makers to assess multi-reservoir rule-sets and irrigation investment options by visualising their impacts on different beneficiaries. Results quantify how economic gains from proposed irrigation schemes trade-off against the disturbance of ecosystems and local livelihoods that depend on them. Full implementation of the proposed schemes is shown to come at a high environmental and social cost. The clarity and comprehensiveness of "best-case" trade-off analysis is a useful vantage point from which to tackle the interdependence and complexity of "water-energy-food nexus" resource security issues.

scholarly journals Quieter and Greener rotorcraft: concurrent aerodynamic and acoustic optimization

2021 ◽  
Author(s):  
Gunther Wilke
Keyword(s):  
Pareto Front ◽  
Goal Function ◽  
Rotor Blades ◽  
Helicopter Rotor ◽  
Pareto Optimal ◽  
Cfd Simulations ◽  
Pareto Optimal Set ◽  
Trade Offs ◽  
Helicopter Rotor Blades ◽  
Optimal Set

AbstractWithin the DLR project VicToria an aerodynamic and aero-acoustic optimization of helicopter rotor blades is performed. During the optimization, three independent flight conditions are considered: hover, cruise and descent flight. The first two flight conditions drive the power requirements of the helicopter rotor, while the descent flight is the loudest flight condition for current helicopter generations. To drive down the required power and the emitted noise, a multi-objective design approach coupled with surrogate models is utilized to find a Pareto optimal set of rotors. This approach allows to identify the trade-offs to be made when laying emphasis on either goal function. The underlying CFD simulations utilize fourth-order accurate spatial schemes to capture the vortex dominated flow of helicopter rotor blades. The paper presents the validation of the setups, the optimization results and the off-design analysis of a chosen set of blades from the Pareto front. The conclusion is that the utilization of the Pareto front approach is necessary to find good rotor designs, while the utilization of high-order methods allows for efficient CFD setups.

Generation of surrogate models of Pareto-optimal performance trade-offs of planar inductors

2013 ◽  
Vol 78 (1) ◽  
pp. 87-97 ◽  
Author(s):  
M. Kotti ◽  
R. González-Echevarría ◽  
F. V. Fernández ◽  
E. Roca ◽  
J. Sieiro ◽  
...  
Keyword(s):  
Surrogate Models ◽  
Optimal Performance ◽  
Pareto Optimal ◽  
Trade Offs

scholarly journals Motile curved bacteria are Pareto-optimal

2019 ◽  
Vol 116 (29) ◽  
pp. 14440-14447 ◽  
Author(s):  
Rudi Schuech ◽  
Tatjana Hoehfurtner ◽  
David J. Smith ◽  
Stuart Humphries
Keyword(s):  
Morphological Diversity ◽  
Fundamental Question ◽  
Pareto Optimal ◽  
Selective Pressures ◽  
Microbial Ecosystems ◽  
Trade Offs ◽  
Optimal Region ◽  
Curved Rods ◽  
Curved Rod ◽  
Cell Construction

Curved rods are a ubiquitous bacterial phenotype, but the fundamental question of why they are shaped this way remains unanswered. Through in silico experiments, we assessed freely swimming straight- and curved-rod bacteria of a wide diversity of equal-volume shapes parameterized by elongation and curvature, and predicted their performances in tasks likely to strongly influence overall fitness. Performance trade-offs between these tasks lead to a variety of shapes that are Pareto-optimal, including coccoids, all straight rods, and a range of curvatures. Comparison with an extensive morphological survey of motile curved-rod bacteria indicates that the vast majority of species fall within the Pareto-optimal region of morphospace. This result is consistent with evolutionary trade-offs between just three tasks: efficient swimming, chemotaxis, and low cell construction cost. We thus reveal the underlying selective pressures driving morphological diversity in a widespread component of microbial ecosystems.

scholarly journals Improved multiple-objective dynamic programming model for reservoir operation optimization

2014 ◽  
Vol 16 (5) ◽  
pp. 1142-1157 ◽  
Author(s):  
Tongtiegang Zhao ◽  
Jianshi Zhao
Keyword(s):  
Dynamic Programming ◽  
Real World ◽  
Reservoir Operation ◽  
Programming Model ◽  
Multiple Objective ◽  
Pareto Optimal ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Operation Optimization ◽  
Trade Offs

Reservoirs are usually designed and operated for multiple purposes, which makes the multiple-objective issue important in reservoir operation. Based on multiple-objective dynamic programming (MODP), this study proposes an improved multiple-objective DP (IMODP) algorithm for reservoir operation optimization, which can be used to solve multiple-objective optimization models regardless whether the curvatures of trade-offs among objectives are concave or not. MODP retains all the Pareto-optimal solutions through backward induction, resulting in the exponential increase of computational burden with the length of study horizon. To improve the computational efficiency, this study incorporates the ranking technique into MODP and proposes an efficient IMODP algorithm. We demonstrate the effectiveness of IMODP through a hypothetical test and a real-world case. The hypothetical test includes three cases in which the trade-offs between objectives are concave, convex, and neither concave nor convex. The results show that IMODP satisfactorily captures the Pareto front for all three cases. The real-world test focuses on hydropower and analyzes the trade-offs between total energy and firm energy for Danjiangkou Reservoir. IMODP efficiently identifies the Pareto-optimal solutions and the trade-offs among objectives.

scholarly journals Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2409
Author(s):  
A. M. Coutinho Demetrios ◽  
Daniele De Sensi ◽  
Arthur Francisco Lorenzon ◽  
Kyriakos Georgiou ◽  
Jose Nunez-Yanez ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Configuration Space ◽  
Energy Savings ◽  
Analytical Models ◽  
Parallel Applications ◽  
Pareto Optimal ◽  
Trade Offs ◽  
Energy Trade ◽  
Optimal Configurations ◽  
Selection Of

This work proposes a methodology to find performance and energy trade-offs for parallel applications running on Heterogeneous Multi-Processing systems with a single instruction-set architecture. These offer flexibility in the form of different core types and voltage and frequency pairings, defining a vast design space to explore. Therefore, for a given application, choosing a configuration that optimizes the performance and energy consumption is not straightforward. Our method proposes novel analytical models for performance and power consumption whose parameters can be fitted using only a few strategically sampled offline measurements. These models are then used to estimate an application’s performance and energy consumption for the whole configuration space. In turn, these offline predictions define the choice of estimated Pareto-optimal configurations of the model, which are used to inform the selection of the configuration that the application should be executed on. The methodology was validated on an ODROID-XU3 board for eight programs from the PARSEC Benchmark, Phoronix Test Suite and Rodinia applications. The generated Pareto-optimal configuration space represented a 99% reduction of the universe of all available configurations. Energy savings of up to 59.77%, 61.38% and 17.7% were observed when compared to the performance, ondemand and powersave Linux governors, respectively, with higher or similar performance.

Het diversiteit-validiteitsdilemma in complexe selectiebeslissingen

2012 ◽  
Vol 25 (2) ◽  
Author(s):  
Celina Druart
Keyword(s):  
Optimization Algorithm ◽  
Adverse Impact ◽  
Pareto Optimal ◽  
Multi Objective Optimization ◽  
Trade Off ◽  
Trade Offs ◽  
Selection Decisions ◽  
Selection Decision ◽  
Specific Position ◽  
Weighted Combination

The diversity-validity dilemma in complex selection decisions The diversity-validity dilemma in complex selection decisions The diversity-validity dilemma arises when valid selection predictors cause adverse impact. In this paper we discuss the diversity-validity dilemma within the complex selection context, which encompasses an applicant pool and several open positions. Some applicants apply for one of the available positions, while others apply for more than one or even all positions. Complex selection decisions select some applicants and assign them to a specific position. We present two methods to estimate the expected selection quality and adverse impact ratio (AIR) of such decisions, in case they are based on a weighted combination of several predictor scores. Additionally, these two methods are implemented in a multi-objective optimization algorithm to develop complex selection decisions that result in a Pareto-optimal trade-off between selection quality and AIR. Pareto-optimal trade-offs are trade-offs between the two outcomes that cannot be bettered simultaneously by any other (complex selection) decision.

scholarly journals Balancing ecosystem services with energy and food security – assessing trade-offs for reservoir operation and irrigation investment in Kenya's Tana basin

2014 ◽  
Vol 11 (1) ◽  
pp. 1343-1388 ◽  
Author(s):  
A. P. Hurford ◽  
J. J. Harou
Keyword(s):  
Ecosystem Services ◽  
Optimal Allocation ◽  
Search Algorithm ◽  
Management Strategies ◽  
Decision Makers ◽  
Pareto Optimal ◽  
Management Problem ◽  
Economic Sectors ◽  
Trade Off ◽  
Trade Offs

Abstract. Competition for water between key economic sectors and the environment means agreeing on allocation is challenging. Managing releases from the three major dams in Kenya's Tana River basin with its 4.4 million inhabitants, 567 MW of installed hydropower capacity, 33 000 ha of irrigation and ecologically important wetlands and forests is a pertinent example. This research seeks to identify and help decision-makers visualise reservoir management strategies which result in the best possible (Pareto-optimal) allocation of benefits between sectors. Secondly we seek to show how trade-offs between achievable benefits shift with the implementation of new proposed rice, cotton and biofuel irrigation projects. To identify the Pareto-optimal trade-offs we link a water resources management model to a multi-criteria search algorithm. The decisions or "levers" of the management problem are volume dependent release rules for the three major dams and extent of investment in new irrigation schemes. These decisions are optimised for objectives covering provision of water supply and irrigation, energy generation and maintenance of ecosystem services which underpin tourism and local livelihoods. Visual analytic plots allow decision makers to assess multi-reservoir rule-sets by understanding their impacts on different beneficiaries. Results quantify how economic gains from proposed irrigation schemes trade-off against disturbance of the flow regime which supports ecosystem services. Full implementation of the proposed schemes is shown to be Pareto-optimal, but at high environmental and social cost. The clarity and comprehensiveness of "best-case" trade-off analysis is a useful vantage point from which to tackle the interdependence and complexity of water-energy-food "nexus" challenges.

Topology Optimization of Multi-Component Structures via Decomposition-Based Assembly Synthesis

2003 ◽  
Author(s):  
Naesung Lyu ◽  
Kazuhiro Saitou
Keyword(s):  
Genetic Algorithm ◽  
Pareto Front ◽  
Structural Performance ◽  
Pareto Optimal ◽  
Pareto Optimal Solutions ◽  
Structural Stiffness ◽  
Optimal Solutions ◽  
Ground Structure ◽  
Multi Objective Genetic Algorithm ◽  
Trade Offs

A method is presented for synthesizing multi-component structural assemblies with maximum structural performance and manufacturability. The problem is posed as a relaxation of decomposition-based assembly synthesis [1,2,3], where both topology and decomposition of a structure are regarded as variables over a ground structure with non-overlapping beams. A multi-objective genetic algorithm [4,5] with graph-based crossover [6,7,8], coupled with FEM analyses, is used to obtain Pareto optimal solutions to this problem, exhibiting trade-offs among structural stiffness, total weight, component manufacturability (size and simplicity), and the number of joints. Case studies with a cantilever and a simplified automotive floor frame are presented, and representative designs in the Pareto front are examined for the trade-offs among the multiple criteria.

Novel players fine-tune plant trade-offs

2015 ◽  
Vol 58 ◽  
pp. 83-100 ◽  
Author(s):  
Selena Gimenez-Ibanez ◽  
Marta Boter ◽  
Roberto Solano
Keyword(s):  
Ubiquitin Ligase ◽  
Feedback Loop ◽  
Molecular Level ◽  
26S Proteasome ◽  
Signalling Molecules ◽  
Transcriptional Reprogramming ◽  
Trade Offs ◽  
Jaz Proteins ◽  
Regulatory Feedback Loop ◽  
Fine Tune

Jasmonates (JAs) are essential signalling molecules that co-ordinate the plant response to biotic and abiotic challenges, as well as co-ordinating several developmental processes. Huge progress has been made over the last decade in understanding the components and mechanisms that govern JA perception and signalling. The bioactive form of the hormone, (+)-7-iso-jasmonyl-l-isoleucine (JA-Ile), is perceived by the COI1–JAZ co-receptor complex. JASMONATE ZIM DOMAIN (JAZ) proteins also act as direct repressors of transcriptional activators such as MYC2. In the emerging picture of JA-Ile perception and signalling, COI1 operates as an E3 ubiquitin ligase that upon binding of JA-Ile targets JAZ repressors for degradation by the 26S proteasome, thereby derepressing transcription factors such as MYC2, which in turn activate JA-Ile-dependent transcriptional reprogramming. It is noteworthy that MYCs and different spliced variants of the JAZ proteins are involved in a negative regulatory feedback loop, which suggests a model that rapidly turns the transcriptional JA-Ile responses on and off and thereby avoids a detrimental overactivation of the pathway. This chapter highlights the most recent advances in our understanding of JA-Ile signalling, focusing on the latest repertoire of new targets of JAZ proteins to control different sets of JA-Ile-mediated responses, novel mechanisms of negative regulation of JA-Ile signalling, and hormonal cross-talk at the molecular level that ultimately determines plant adaptability and survival.

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