Results 51 to 60 of about 8,528 (188)

Optimum Nozzle Design for a Viscous Liquid by Using Multi-Objective Search Approaches

IEEE Access, 2020
This work deals with the problem of a nozzle design addressed through a multi-objective optimization strategy where governing equations of fluid dynamics model the phenomena.
Victor Dario Cuervo Pinto, Alejandro Rodriguez-Molina, Leonel German Corona-Ramirez, Miguel Gabriel Villarreal-Cervantes   +3 more
doaj   +1 more source

Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks [PDF]

, 2007
Congress on Evolutionary Computation. Singapore, 25-28 September 2007A mobile adhoc network (MANETs) is a self-configuring network of mobile routers (and associated hosts).
Cervantes, Alejandro, Isasi, Pedro, Luque, Cristóbal, Pérez, Ramón   +3 more
core   +2 more sources

A Graph Pointer Network-Based Multi-Objective Deep Reinforcement Learning Algorithm for Solving the Traveling Salesman Problem

Mathematics, 2023
Traveling Salesman Problems (TSPs) have been a long-lasting interesting challenge to researchers in different areas. The difficulty of such problems scales up further when multiple objectives are considered concurrently.
Jeewaka Perera, Shih-Hsi Liu, Marjan Mernik, Matej Črepinšek, Miha Ravber   +4 more
doaj   +1 more source

Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms

, 2019
In the field of multi-objective optimization algorithms, multi-objective Bayesian Global Optimization (MOBGO) is an important branch, in addition to evolutionary multi-objective optimization algorithms (EMOAs).
Bäck, Thomas, Deutz, André, Emmerich, Michael, Yang, Kaifeng   +3 more
core   +1 more source

Topological Defects in Gauge Theories of Open p-branes [PDF]

, 1996
We study phase transitions induced by topological defects in Abelian gauge theories of open p-branes in (d+1) space-time dimensions. Starting from a massive antisymmetric tensor theory for open p-branes we show how the condensation of topological defects
Cardy, Cardy, Cremmer, Diamantini, Douglas, Einhorn, Elitzur, Freedman, Green, Guth, Horn, Hull, Itzykson, Itzykson, Kalb, Kleinert, M.C. Diamantini, Nambu, Nepomechie, Ogievetsky, Orland, Polchinski, Polyakov, Polyakov, Quevedo, Rey, Savit, Savit, Shapere, Strominger, Strominger, Teitelboim, Teitelboim, Townsend, Witten, Witten   +35 more
core   +2 more sources

Surrogate Model-based Multi-Objective Optimization in Early Stages of Ship Design

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
The abstract isthe early stages of ship design, the decision of the ship's main dimensions significantly impacts the ship's performance and the total cost of ownership. This paper focuses on an optimization approach based on surrogate models at the early
Nanda Yustina, Ari Saptawijaya
doaj   +1 more source

Set-based Multiobjective Fitness Landscapes: A Preliminary Study [PDF]

, 2011
Fitness landscape analysis aims to understand the geometry of a given optimization problem in order to design more efficient search algorithms. However, there is a very little knowledge on the landscape of multiobjective problems. In this work, following
Dhaenens, Clarisse, Liefooghe, Arnaud, Verel, Sébastien   +2 more
core   +5 more sources

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique

Connection Science, 2018
The features related to the real world data may be redundant and erroneous in nature. The vital role of feature selection (FS) in handling such type of features cannot be ignored in the area of computational learning.
Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev, Tripti Swarnkar   +3 more
doaj   +1 more source

A Memetic Analysis of a Phrase by Beethoven: Calvinian Perspectives on Similarity and Lexicon-Abstraction [PDF]

, 2015
This article discusses some general issues arising from the study of similarity in music, both human-conducted and computer-aided, and then progresses to a consideration of similarity relationships between patterns in a phrase by Beethoven, from the ...
Blackmore S. J., Blackmore S. J., Borges J. L., Byros V, Calvin W. H., Calvin W. H., Dahlhaus C, Dawkins R, Dawkins R, Dawkins R, Dawkins R, Dennett D. C., Garliauskas A., Gjerdingen R. O., Gjerdingen R. O., Jan S. B., Jan S. B., Keller H, Lartillot O, Lartillot O., Leman M, Leng X., Lerdahl F., Meyer L. B., Mithen S, Narmour E, Nattiez J.-J., Ockelford A, Schenker H, Snyder B, Steven Jan, Wallin N. L., Wiggins G. A.   +32 more
core   +2 more sources