Topic: pareto-optimality Goto Github
Some thing interesting about pareto-optimality
Some thing interesting about pareto-optimality
pareto-optimality,This paper presents an intelligent sizing method to improve the performance and efficiency of a CMOS Ring Oscillator (RO). The proposed approach is based on the simultaneous utilization of powerful and new multi-objective optimization techniques along with a circuit simulator under a data link. The proposed optimizing tool creates a perfect tradeoff between the contradictory objective functions in CMOS RO optimal design. This tool is applied for intelligent estimation of the circuit parameters (channel width of transistors), which have a decisive influence on RO specifications. Along the optimal RO design in an specified range of oscillaton frequency, the Power Consumption, Phase Noise, Figure of Merit (FoM), Integration Index, Design Cycle Time are considered as objective functions. Also, in generation of Pareto front some important issues, i.e. Overall Nondominated Vector Generation (ONVG), and Spacing (S) are considered for more effectiveness of the obtained feasible solutions in application. Four optimization algorithms called Multi-Objective Genetic Algorithm (MOGA), Multi-Objective Inclined Planes system Optimization (MOIPO), Multi-Objective Particle Swarm Optimization (MOPSO) and Multi-Objective Modified Inclined Planes System Optimization (MOMIPO) are utilized for 0.18-mm CMOS technology with supply voltage of 1-V. Baesd on our extensive simulations and experimental results MOMIPO outperforms the best performance among other multi-objective algorithms in presented RO designing tool.
User: ali-ece
pareto-optimality,Multi-objective optimization based on sloping plate optimization algorithm called Multi-objective Inclined Planes system optimization algorithm (MOIPO) is presented in this link. The proposed method uses the concept of Pareto optimization to identify non-dominant positions and an external tank to maintain these positions.
User: ali-ece
pareto-optimality,Code for calibration as a method of design.
User: cehrett
pareto-optimality,Genetic Algorithm (GA) for a Multi-objective Optimization Problem (MOP)
User: emilioschi
pareto-optimality,Tesis de Ingeniería en Computación: Extensión de PostgreSQL con Mecanismos de Optimización de Consultas basadas en Preferencias (Mención Honorífica).
User: fabidibartolo
pareto-optimality,:chart_with_downwards_trend: Disk Storage of Compressed k-mer Dictionaries, with or without Random Access in Main Memory.
User: gengrim76
pareto-optimality,which kart setups are good
User: gnmerritt
pareto-optimality,Finding Pareto Optimal Solutions in Large Graphs Using Graph Databases
User: gongotar
pareto-optimality,The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation
User: greenwicher
pareto-optimality,ME527 Bi-Objective Optimisation Coursework - 2021/22
User: jacobc182
pareto-optimality,[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
Organization: mit-gfx
Home Page: http://cpmtl.csail.mit.edu
pareto-optimality,MOEA image segmentation with NSGA-II and weighted sum GA
User: nicklasbekkevold
pareto-optimality,Simple multi-objective optimisation routine based on Celery
User: proxymallick
pareto-optimality,🎓An AI tool to assist universities with optimal allocation of students to supervisors for their dissertations. Devised a multi-objective genetic algorithm for the task.
User: rithinch
pareto-optimality,Implementation of verification algorithms for the Pareto-Rational Verification problem (PRV problem).
User: skar0
pareto-optimality,Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) in MATLAB
User: smkalami
Home Page: https://yarpiz.com/95/ypea124-moead
pareto-optimality,NSGA-III: Non-dominated Sorting Genetic Algorithm, the Third Version — MATLAB Implementation
User: smkalami
Home Page: https://yarpiz.com/456/ypea126-nsga3
pareto-optimality,Pareto-optimal data compression for binary classification tasks
User: tailintalent
pareto-optimality,Master project. Simulator to find the optimal deployment model of FaaS (serverless) and VM-based instances to reduce cost
User: timonback
Home Page: https://fse.studenttheses.ub.rug.nl/18484/
pareto-optimality,Code for "A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications"
User: tuantran23012000
Home Page: https://arxiv.org/abs/2302.12487
pareto-optimality,Оптимизация долгосрочного портфеля акций
User: wlm1ke
pareto-optimality,AutoOED: Automated Optimal Experimental Design Platform
User: yunshengtian
Home Page: https://autooed.org
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