Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks
نویسندگان
چکیده
منابع مشابه
A simulated annealing technique for multi-objective simulation optimization
In this paper, we present a simulated annealing algorithm for solving multi-objective simulation optimization problems. The algorithm is based on the idea of simulated annealing with constant temperature, and uses a rule for accepting a candidate solution that depends on the individual estimated objective function values. The algorithm is shown to converge almost surely to an optimal solution. ...
متن کاملMulti-Case Multi-Objective Simulated Annealing (MC-MOSA): New Approach to Adapt Simulated Annealing to Multi-objective Optimization
In this paper a new approach is proposed for the adaptation of the simulated annealing search in the field of the Multi-Objective Optimization (MOO). This new approach is called Multi-Case Multi-Objective Simulated Annealing (MC-MOSA). It uses some basics of a well-known recent Multi-Objective Simulated Annealing proposed by Ulungu et al., which is referred in the literature as U-MOSA. However,...
متن کاملA Simulated Annealing Algorithm for Multi Objective Flexible Job Shop Scheduling with Overlapping in Operations
In this paper, we considered solving approaches to flexible job shop problems. Makespan is not a good evaluation criterion with overlapping in operations assumption. Accordingly, in addition to makespan, we used total machine work loading time and critical machine work loading time as evaluation criteria. As overlapping in operations is a practical assumption in chemical, petrochemical, and gla...
متن کاملNumeric Multi-Objective Rule Mining Using Simulated Annealing Algorithm
Abstract as a single objective one. Measures like support, confidence and other interestingness criteria which are used for evaluating a rule, can be thought of as different objectives of association rule mining problem. Support count is the number of records, which satisfies all the conditions that exist in the rule. This objective represents the accuracy of the rules extracted from the da...
متن کاملAn Elitist Simulated Annealing Algorithm for Solving Multi Objective Optimization Problems in Internet of Things Design
*Subhamoy Chakraborti AVP – IT, Magma Fincorp Limited, India Email: [email protected] Sugata Sanyal Member, School of Computing and Informatics' "Brain Trust" University of Louisiana at Lafayette, USA [email protected] *Corresponding author --------------------------------------------------------------------ABSTRACT------------------------------------------------------------Internet...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PeerJ Computer Science
سال: 2021
ISSN: 2376-5992
DOI: 10.7717/peerj-cs.338