Visualizing multi-dimensional pareto-optimal fronts with a 3D virtual reality system

Madetoja, Elina; Ruotsalainen, Henri; Monkkonen, V.-M.; Hämäläinen, Jari; Deb, Kalyanmoy

doi:10.1109/imcsit.2008.4747350

Cited by 17 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As for the effective representation of the multidimensional Pareto frontier in step 4 and the associated set of Pareto‐efficient alternatives, there are an increasing number of studies [see Lotov et al , 2005; Kollat and Reed , 2007; Madetoja et al , 2008, and the review in chapters 8 and 9 of Branke et al 2008] demonstrating that visualization tools can provide DMs with a graphical representation of the Pareto frontier in problems with three to seven objectives. Interactive decision maps (IDMs) [see Lotov , 1989 and references therein] are particularly effective and are used in this paper.…”

Section: Methodsmentioning

confidence: 99%

Interactive response surface approaches using computationally intensive models for multiobjective planning of lake water quality remediation

Castelletti

Antenucci

Limosani

et al. 2011

Water Resources Research

View full text Add to dashboard Cite

[1] Recent work has demonstrated the utility of interactive response surfaces in integrating decision making and complex process-based modeling of environmental systems. Specifically, we focus on problems that require computationally expensive dynamic models where a limited number of simulations are possible and so traditional meta-modeling might be not an option for the optimization process. Within this constraint, the interactive global response surface method aims to develop a complete picture of how the system responds to a planning decision on the basis of a restricted number of simulations. The interactive local response surface method utilizes the current best alternative to determine improvements on the basis of relatively small changes in the current decision. We outline the use of both methods to a real example of remediation in a water supply reservoir, demonstrating the key advantages and disadvantages of each method and describe a new, interactive cascade approach that provides an improved solution to the problem.Citation: Castelletti, A., J. P. Antenucci, D. Limosani, X. Quach Thi, and R. Soncini-Sessa (2011), Interactive response surface approaches using computationally intensive models for multiobjective planning of lake water quality remediation, Water Resour. Res., 47, W09534,

show abstract

Section: Methodsmentioning

confidence: 99%

Interactive response surface approaches using computationally intensive models for multiobjective planning of lake water quality remediation

Castelletti

Antenucci

Limosani

et al. 2011

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…The ability to visualize the shapes of trade-offs between multiple conflicting performance criteria and to quickly identify points of diminishing return within the trade-offs will be important to understanding the complex relationships that typically exist between objectives (Branke et al, 2008;Kollat and Reed, 2007b;Lotov et al, 2005;Madetoja et al, 2008). Tools which permit the decision maker to interactively "brush" or filter designs from view (Inselberg, 1997) according to objective value, decisions, constraint violations, and other variables are a must for rapidly distilling large Pareto optimal design sets into smaller, more manageable subsets of interest.…”

Section: Research Challenges and Future Directionsmentioning

confidence: 99%

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions

Maier

Kapelan

Kasprzyk

et al. 2014

Environmental Modelling & Software

521

317

View full text Add to dashboard Cite

In all cases accepted manuscripts should:  link to the formal publication via its DOI  bear a CC-BY-NC-ND license -this is easy to do, click here to find out how  if aggregated with other manuscripts, for example in a repository or other site, be shared in alignment with our hosting policy  not be added to or enhanced in any way to appear more like, or to substitute for, the published journal article AbstractThe development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active research field for over two decades. Research to date has emphasized algorithmic improvements and individual applications in specific areas (e.g., model calibration, water distribution systems, groundwater management, river-basin planning and management, etc.). However, there has been limited synthesis between shared problem traits, common EA challenges, and needed advances across major applications. This paper clarifies the current status and future research directions for better solving key water resources problems using EAs. Advances in understanding fitness landscape properties and their effects on algorithm performance are critical. Future EA-based applications to real-world problems require a fundamental shift of focus towards improving problem formulations, understanding general theoretic frameworks for problem decompositions, major advances in EA computational efficiency, and most importantly aiding real decision-making in complex, uncertain application contexts.

show abstract

“…The multi-objective approaches allow decision making to think about the trade-offs between different objects. Multi-objective optimization problems satisfy different and even contradictory objectives, which is known as Pareto optimal solutions [15] . The vector F * is a Pareto optimal solution if there does not exist another F in the feasible search region such that…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Integration of Operability Framework and Pareto Optimal Front to Calculate Optimal Condition of Ethane Cracking Process

Farsi

2020

SCE

View full text Add to dashboard Cite

The main aim of this research is to present an optimization procedure based on the integration of operability framework and multi-objective optimization concepts to find the single optimal solution of processes. In this regard, the Desired Pareto Index is defined as the ratio of desired Pareto front to the Pareto optimal front as a quantitative criterion to analyze the performance of chemical processes. The Desired Pareto Front is defined as a part of the Pareto front that all outputs are improved compared to the conventional operating condition. To prove the efficiency of proposed optimization method, the operating conditions of ethane cracking process is optimized as a base case. The ethylene and methane production rates are selected as the objectives in the formulated multi-objective optimization problem. Based on the simulation results, applying the obtained operating conditions by the proposed optimization procedure on the ethane cracking process improve ethylene production by about 3% compared to the conventional condition.

show abstract

Visualizing multi-dimensional pareto-optimal fronts with a 3D virtual reality system

Cited by 17 publications

References 12 publications

Interactive response surface approaches using computationally intensive models for multiobjective planning of lake water quality remediation

Interactive response surface approaches using computationally intensive models for multiobjective planning of lake water quality remediation

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions

Integration of Operability Framework and Pareto Optimal Front to Calculate Optimal Condition of Ethane Cracking Process

Contact Info

Product

Resources

About