Results 21 to 30 of about 12,666,425 (359)
Enhanced Success History Adaptive DE for Parameter Optimization of Photovoltaic Models
Complex, 2021 In the past few decades, a lot of optimization methods have been applied in estimating the parameter of photovoltaic (PV) models and obtained better results, but these methods still have some deficiencies, such as higher time complexity and poor ...
Yingjie Song +5 more
semanticscholar +1 more source
Journal of manufacturing systems, 2021 This paper describes a physics-guided logistic classification method for tool life modeling and process parameter optimization in machining. Tool life is modeled using a classification method since the exact tool life cannot be measured in a typical ...
Jaydeep Karandikar +2 more
semanticscholar +1 more source
Optimization Library for Interactive Multi-Criteria Optimization Tasks [PDF]
, 2012 The commercial library Optimization 2.1 for interactive multi-criteria optimization tasks has been released along with Dymola 2013. The library offers several numerical optimization algorithms for solving different kinds of optimization tasks.
Pfeiffer, Andreas, Andreas Pfeiffer
core +1 more source
METHOD PARAMETER OPTIMIZATION ROCK CRUSHING.
Системный анализ и прикладная информатика, 2015 Set of parameters characterizing the process of interdependence rock crushing and the technique of joint optimization of the above parameters.
Yu. A. Chpurgalov, M. Yu. Chpurgalova
doaj +1 more source
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics [PDF]
ACM Transactions on Evolutionary Learning and OptimizationLarge Language Models (LLMs) have shown great potential in automatically generating and optimizing (meta)heuristics, making them valuable tools in heuristic optimization tasks.
Niki van Stein +2 more
semanticscholar +1 more source
Energy efficient cutting parameter optimization
Frontiers of Mechanical Engineering, 2021 Mechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing
Xingzheng Chen +4 more
semanticscholar +1 more source
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training [PDF]
, 2006 Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influenced by several "strategy parameters".
Meissner, Michael +11 more
core +1 more source
Feedback learning particle swarm optimization [PDF]
, 2011 This is the author’s version of a work that was accepted for publication in Applied Soft Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may ...
Tang, Y +5 more
core +1 more source
Shape optimization with the biological growth method: A parameter study [PDF]
, 1996 Studies the effect of parameters controlling the biological growth method by applying it to the classical optimization problem of a plate with a central hole under biaxial stress state.
Guneri, A, Tekkaya, AE
core +1 more source
Parameter optimization in general Scan methods
Revista Facultad de Ingeniería Universidad de Antioquia, 2013 The present work shows an application of Experimental Design to the methods for disease cluster detection: Classic Scan and Fuzzy Scan. A non parametric experimental design for two factors is used. The fundamental target is to study the influence of the
Laureano Rodríguez Corvea +4 more
doaj +1 more source