Results 91 to 100 of about 14,697 (286)
Journal of Optimization, Differential Equations and Their ApplicationsThis paper proposes an extension of Zoutendijk’s Method of Feasible Directions (MFD) for solving linearly constrained multi-objective optimization problems.
Ramdani Zoubir +2 more
doaj +1 more source
Adaptive Multiswarm Comprehensive Learning Particle Swarm Optimization
Information, 2018 Multiswarm comprehensive learning particle swarm optimization (MSCLPSO) is a multiobjective metaheuristic recently proposed by the authors. MSCLPSO uses multiple swarms of particles and externally stores elitists that are nondominated solutions found so ...
Xiang Yu, Claudio Estevez
doaj +1 more source
Distilling the Pareto Optimal Front into Actionable Insights
Environmental Modelling & SoftwareAbstract Multi-objective optimization (MOO) is becoming increasingly important in environmental decision making, but interpreting highly-dimensional Pareto optimal data often constitutes a cognitive overload for both scientists and stakeholders. To address this challenge, we present PyretoClustR, a modular framework for post-processing Pareto optimal ...
White, Sydney E. +4 more
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Dynamic multi‐objective optimisation of complex networks based on evolutionary computation
IET Networks, EarlyView., 2022 Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley +1 more source
Pareto front identification from stochastic bandit feedback [PDF]
, 2016 We consider the problem of identifying the Pareto front for multiple objectives from a finite set of operating points. Sampling an operating point gives a random vector where each coordinate corresponds to the value of one of the objectives.
Chiang, C.-K. +7 more
core
Advanced Intelligent Discovery, EarlyView.This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
Multiobjective Test Problems with Degenerate Pareto Fronts
CoRR, 2018 In multiobjective optimisation, a set of scalable test problems with a variety of features allow researchers to investigate and evaluate the abilities of different optimisation algorithms, and thus can help them to design and develop more effective and efficient approaches.
Liangli Zhen +4 more
openaire +2 more sources
Consensus Moderation System [PDF]
The present paper formulates a consensus moderation system based on the negotiation of the actors involved. There are a series of steps in the moderation process, the first of which is constructing a front of Pareto optimal solutions.
Andrei TOMA
core
A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films
Advanced Intelligent Systems, EarlyView.A self‐driving laboratory accelerates the development of solution‐processed electrochromic thin films. By coupling machine learning with robotic fabrication and characterization, this closed‐loop platform systematically navigates complex processing parameters.
Selma Dahms +7 more
wiley +1 more source