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Multi-objective optimization of high speed vehicle-passenger catamaran by genetic algorithm

Zbigniew Sekulski
2011 Polish Maritime Research  
They show that the proposed genetic algorithm may be considered an efficient tool for multi-objective optimization of ship structures.  ...  elaborate a finite set of quality measures, which can indicate if the approximation a of Pareto-optimum set is better that the approximation B, in every case.  ...  That is why it is difficult to define proper quality measure for approximations of an unknown front of Pareto-optimum solutions.  ... 
doi:10.2478/v10012-011-0020-0 fatcat:6v3xjldlqbethlqeaf5fpihqjm

Cost-effectiveness of alternative colonoscopy surveillance strategies to mitigate metachronous colorectal cancer incidence

Fatih Safa Erenay, Oguzhan Alagoz, Ritesh Banerjee, Adnan Said, Robert R. Cima
2016 Cancer  
RESULTS: The US guideline [(1,3,5)] recommends the first colonoscopy 1 year after treatment, whereas the second and third colonoscopies are to be repeated at 3-and 5-year intervals.  ...  CONFLICT OF INTEREST DISCLOSURES Oguzhan Alagoz reports personal fees from Renaissance Rx and Ally Clinical Diagnostics outside the submitted work.  ...  Therefore, we reported detailed performances of promising strategies, a subset of Pareto-efficient or close-to-Pareto-efficient strategies requiring at most 40% more colonoscopies (ie, approximately 1  ... 
doi:10.1002/cncr.30091 pmid:27248907 pmcid:PMC4974131 fatcat:4me6ou3nqbcz5b646fsssxqr3a


Thomas Christiano, Will Braynen
2008 Ratio  
The ideal egalitarian distribution in the circumstance is Pareto optimal and the approximation rule implies that Pareto superior states are less unjust than Pareto inferior states. 1  ...  It is serious because it pits the principle of equality squarely against the welfares of the persons whose welfares or resources are equalized.  ...  Some claim that the principle of equality would recommend throwing away the two goods in order that the two persons are not unequally rewarded.  ... 
doi:10.1111/j.1467-9329.2008.00410.x fatcat:gykrti4xgzcepnkn5uet6prvji

Exact generation of epsilon-efficient solutions in multiple objective programming

Alexander Engau, Margaret M. Wiecek
2006 OR spectrum  
Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently  ...  An efficient or weakly efficient solution x • ∈ X • or X • w produces a Pareto or weak Pareto outcome y • = f (x • ), and the sets of all Pareto or weakly Pareto outcomes are denoted by Y • or Y • w ,  ...  An ε-efficient or weakly ε-efficient solution x • ∈ X (ε) or X (ε) w produces an ε-Pareto or weak ε-Pareto outcome y • = f (x • ), and the sets of all ε-Pareto or weakly ε-Pareto outcomes are denoted by  ... 
doi:10.1007/s00291-006-0044-5 fatcat:4etqumfmjjcd3kin3oi3wxxava

Performance of HIV detection in Zhejiang province in China: The Pareto principle at work

Jiafeng Zhang, Xiaobei Ding, Xin Zhou, Wanjun Chen, Jiaming Yao, Zhihong Guo, Lin Chen, Yan Xia, Qin Fan
2021 Journal of clinical laboratory analysis (Print)  
The Pareto principle provides a method for identifying noteworthy laboratories to deliver prior quality supervision and developing highly efficient screening strategies that best suit local needs.  ...  We assessed the applicability of the Pareto principle to HIV detection performance.  ...  The Pareto principle provides a useful method for identifying the most relevant and important components in a complex whole, which leads to improved management efficiency with clear and focused targets  ... 
doi:10.1002/jcla.23794 pmid:33942384 pmcid:PMC8183946 fatcat:akhg4wbc3rebxkeui5kvv7m2z4

Identification of Occupational Injury among the Workers of Selected Cement Industries in Bangladesh - A Case Study

Salma A Iqbal, Mohammed Iqbal, Md Zubair Taufiq, Md Shamim Ahmed
2011 Journal of Chemical Engineering  
Pareto analysis was then applied to find a pattern of occupational injury among the workers.  ...  Action Plans The proper and efficient functioning of the recommendation depends on some sequential action which is called here action plans.  ...  Recommendations In the light of the analysis and overall findings this study recommends a few steps and action planning which if implemented carefully and efficiently in the concerned organizations the  ... 
doi:10.3329/jce.v25i0.7236 fatcat:2uoa5sozvfa6hjwqol6fkkugqa

Search based recommender system using many-objective evolutionary algorithm

Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao
2016 2016 IEEE Congress on Evolutionary Computation (CEC)  
[24] selected Pareto-efficient items according to multiple recommender algorithms and tried to optimize the weighted combination of multiple recommender systems using multiobjective evolutionary algorithm  ...  Generally, recommender systems try to provide personalized recommendation for all users with various interests.  ... 
doi:10.1109/cec.2016.7743786 dblp:conf/cec/LiQLTY16 fatcat:4qg5yuhferefre3zatko2r2n7i

Page 7810 of Mathematical Reviews Vol. , Issue 95m [page]

1995 Mathematical Reviews  
This extension replaces 909 ECONOMICS, OPERATIONS RESEARCH, PROGRAMMING, GAMES 7810 the notion of Pareto efficiency by the proper Pareto efficiency, avoiding the undesirable properties concerning the ratio  ...  Summary: “The concepts of cooperative n-person cost game and i  ... 

Efficient Hybrid Multiobjective Optimization of Pressure Swing Adsorption

Zhimian Hao, Adrian Caspari, Artur M. Schweidtmann, Yannic Vaupel, Alexei A. Lapkin, Adel Mhamdi
2021 Chemical Engineering Journal  
., DyOS) is initialized at the approximated Pareto front to further refine the solutions until local optimality. Therein, the full process model is used in the optimization.  ...  In the first step, a Bayesian stochastic multiobjective optimization algorithm (i.e., TSEMO) searches the entire decision space and identifies an approximated Pareto front within a small number of simulations  ...  This step identifies an approximate Pareto front of two objectives, CO 2 purity and recovery.  ... 
doi:10.1016/j.cej.2021.130248 fatcat:vt5shizmaneklgerpzvmd374lu


Tom Souaille, Jean-François Petiot, Mathieu Lagrange, Nicolas Misdariis
2021 Proceedings of the Design Society  
After a description of the experimental protocol for the assessment of the detectability and the unpleasantness of EV sounds (listening test), a set of optimal sounds (Pareto efficient) is defined with  ...  Results show that the sounds recommended obtain interesting performance, in particular to improve the detectability of EV sounds.  ...  ., 2002) , which aims at finding an approximation of the Pareto front.  ... 
doi:10.1017/pds.2021.418 fatcat:7xsc46okdfcgblgxiirdjnqvpm

R 2-IBMOLS applied to a practical case of the multiobjective knapsack problem

Brahim Chabane, Matthieu Basseur, Jin-Kao Hao
2017 Expert systems with applications  
This work deals with the key issue of elaborating efficient action plans in these structures, which aims to improve the whole quality of these structures.  ...  An efficient action plan is a set of actions chosen among many candidate actions which optimize several conflicting objectives and satisfy some imperative constraints.  ...  We aim here to approximate the Pareto front effectively (the Pareto front refers to the image of the Pareto set in the objective space).  ... 
doi:10.1016/j.eswa.2016.11.007 fatcat:6kaq3kalnvbsnczqbyxp6snpmq

The Erroneous Foundations of Law and Economics

Mark Glick, Gabriel A. Lozada
2021 Institute for New Economic Thinking Working Paper Series  
But L&E proponents do not define "efficiency" in the way agreed to by most economists, as Pareto Efficiency.  ...  Unable to use Pareto Efficiency, L&E scholars have been forced to adopt alternative definitions of efficiency.  ...  Pareto approach; but the surplus approach inherits all the normative problems of the Potential Pareto approach, as discussed in Section V.F.)  ... 
doi:10.36687/inetwp149 fatcat:s5rhoyr6lzeljdofbj5ys3yqyy

Multi-FR: A Multi-objective Optimization Framework for Multi-stakeholder Fairness-aware Recommendation [article]

Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu
2022 arXiv   pre-print
Pareto optimality guarantee.  ...  The training efficiency study confirms our model's ability to simultaneously optimize different fairness constraints for many stakeholders efficiently.  ...  Method Studied We choose three models as our recommendation backbones: • BPRMF, Bayesian Personalized Ranking-based Matrix Factorization [64] , which is a classic method for learning pairwise personalized  ... 
arXiv:2105.02951v3 fatcat:levktre5l5hwvl5ulifagtzabq

Adaptive Multiswarm Comprehensive Learning Particle Swarm Optimization

Xiang Yu, Claudio Estevez
2018 Information  
MSCLPSO can approximate the true Pareto front in one single run; however, it requires a large number of generations to converge, because each swarm only optimizes the associated objective and does not  ...  In this paper, we propose an adaptive particle velocity update strategy for MSCLPSO to improve the search efficiency.  ...  Metaheuristics have been recognized as promising and competitive for approximating the Pareto front [2, 3] .  ... 
doi:10.3390/info9070173 fatcat:udz4jqu2ofaxlcqtoyeuwkk6zi

Multi-Task Learning on Networks [article]

Andrea Ponti
2021 arXiv   pre-print
Computational results show that the sample efficiency and the quality of the Pareto set provided by MOEA/WST are significantly better than in the standard MOEA.  ...  The major drawback of MOEAs is a low sample efficiency with respect to function evaluations.  ...  One should anyway remark that these methods look for learning efficiently separate optimizers for each objective rather than approximating the Pareto frontier.  ... 
arXiv:2112.04891v1 fatcat:64qxwiy6wjg6vk642whuuaq36u
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