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Multivariable controller design using pareto front [PDF]
, 2011 A multivariable thermal system with two inputs and two outputs is investigated. Its inputs are a pair of heaters controlled by a computer while its outputs are temperatures measured by two sensors.
Ho, Ka Wing
core +1 more source
OPTIMIZATION OF THE PROBLEM SOLVING WITH LIMITED RESOURCE
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The knapsack problem is analyzed on the basis of the mathematical model, which uses the means of multicriterial optimization. The method which defines possible redundancy of the initial data set is offered for the problem. The algorithm of the transition
S. V. Chebakov, L. V. Serebryanaya
doaj
Advanced Materials, EarlyView.Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Reference Set Generator: A Method for Pareto Front Approximation and Reference Set Generation
MathematicsIn this paper, we address the problem of obtaining bias-free and complete finite size approximations of the solution sets (Pareto fronts) of multi-objective optimization problems (MOPs). Such approximations are, in particular, required for the fair usage
Angel E. Rodriguez-Fernandez +2 more
doaj +1 more source
International Journal for Simulation and Multidisciplinary Design Optimization, 2018 This paper analyzes more than 40 papers with a restricted area of application of Multi-Objective Genetic Algorithm, Non-Dominated Sorting Genetic Algorithm-II and Multi-Objective Differential Evolution (MODE) to solve the multi-objective problem in ...
Fanuel Ibrahim Mwita +2 more
doaj +1 more source
Pareto Set Identification With Posterior Sampling
CoRRThe problem of identifying the best answer among a collection of items having real-valued distribution is well-understood. Despite its practical relevance for many applications, fewer works have studied its extension when multiple and potentially conflicting metrics are available to assess an item's quality.
Kone, Cyrille +2 more
openaire +5 more sources
Advanced Robotics Research, EarlyView.A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Handling Multimodality in Pareto Set Estimation via Cluster-Wise Decomposition
Applied SciencesMultimodal multi-objective optimization problems often exhibit one-to-many mappings, where multiple distinct variable vectors correspond to the same objective vector. This characteristic makes Pareto set (PS) estimation difficult, as conventional inverse
Yuki Suzumura +2 more
doaj +1 more source
Pareto dominance-based MOEAs on problems with difficult pareto set topologies
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018 Despite the extensive application of multi-objective evolutionary algorithms (MOEAs) to solve multi-objective optimization problems (MOPs), understanding their working principles is still open to research. One of the most popular and successful MOEA approaches is based on Pareto dominance and its relaxed version, Pareto epsilon-dominance. However, such
Marca, Yuri +6 more
openaire +2 more sources