Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2022 at "Biotechnology and bioengineering"
DOI: 10.1002/bit.28103
Abstract: Our research aims to help industrial biotechnology develop a sustainable economy using green technology based on microorganisms and synthetic biology through two case studies that improve metabolic capacity in yeast models Yarrowia lipolytica (Y. lipolytica)…
read more here.
Keywords:
optimal metabolic;
growth;
engineering growth;
pareto optimal ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2017 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-016-1469-3
Abstract: Evolutionary multi-objective optimization has established itself a core field of research and application, with a proliferation of algorithms derived. During the multi-objective optimization processes, the discovered ideal solutions should be diversely distributed at the Pareto…
read more here.
Keywords:
pareto optimal;
comparing pareto;
distribution;
new distribution ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "International Journal of Game Theory"
DOI: 10.1007/s00182-018-0612-3
Abstract: In several situations agents need to be assigned to activities on basis of their preferences, and each agent can take part in at most one activity. Often, the preferences of the agents do not depend…
read more here.
Keywords:
stable pareto;
optimal group;
pareto optimal;
activity ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "Economic Theory"
DOI: 10.1007/s00199-019-01239-y
Abstract: We study the efficiency properties of equilibria in general equilibrium economies with incomplete financial markets. We focus the analysis on economies with a finitely large number of agents and initial endowments close to a Pareto…
read more here.
Keywords:
pareto optimal;
equilibrium;
financial markets;
constrained pareto ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2019 at "Algorithmica"
DOI: 10.1007/s00453-019-00584-7
Abstract: We study the House Allocation problem (also known as the Assignment problem), i.e., the problem of allocating a set of objects among a set of agents, where each agent has ordinal preferences (possibly involving ties)…
read more here.
Keywords:
house allocation;
mechanism;
pareto optimal;
allocation problem ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "Autonomous Agents and Multi-Agent Systems"
DOI: 10.1007/s10458-020-09445-y
Abstract: Selecting a set of alternatives based on the preferences of agents is an important problem in committee selection and beyond. Among the various criteria put forth for desirability of a committee, Pareto optimality is a…
read more here.
Keywords:
optimal committees;
pareto optimal;
testing pareto;
computing testing ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2017.04.012
Abstract: BACKGROUND AND OBJECTIVE Feature reduction is an essential stage in computer aided breast cancer diagnosis systems. Multilayer neural networks can be trained to extract relevant features by encoding high-dimensional data into low-dimensional codes. Optimizing traditional…
read more here.
Keywords:
auto;
classification;
auto encoder;
pareto optimal ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.371
Abstract: Abstract A novel multi-objective control problem with generalized H2 criteria is studied for a linear system with a single disturbance input and multiple objective outputs. The generalized H2-norm is the L2 to L∞ gain of…
read more here.
Keywords:
protection vibration;
optimal protection;
control;
pareto optimal ... See more keywords
Photo from archive.org
Sign Up to like & get
recommendations!
0
Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.08.152
Abstract: Abstract For reinforcement learning tasks with multiple objectives, it may be advantageous to learn stochastic or non-stationary policies. This paper investigates two novel algorithms for learning non-stationary policies which produce Pareto-optimal behaviour (w-steering and Q-steering),…
read more here.
Keywords:
optimal multiobjective;
pareto optimal;
approaches pareto;
reinforcement learning ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2018 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2018.05.037
Abstract: Abstract Offshore production has a high level of complexity inherent to its development and exploration. This context leads to the need for the Multi-objective and Multi-level Capacitated Oil Platform Location Problem (MMCOPLP), which is used…
read more here.
Keywords:
location problem;
platform location;
pareto optimal;
multi objective ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2018 at "IISE Transactions"
DOI: 10.1080/24725854.2017.1395978
Abstract: ABSTRACT Long duration and high cost are two key characteristics of clinical trials. Since the clinical trial duration is part of the limited patent life and determines the time to market, its reduction is of…
read more here.
Keywords:
chain;
clinical trial;
pareto optimal;
cost ... See more keywords