A parallel global multiobjective framework for optimization: pagmo
Francesco Biscani,Dario Izzo +1 more
TL;DR: Efficient implementantions of bio-inspired and evolutionary algorithms are sided to state-ofthe-art optimization algorithms and can be used concurrently to build an optimization pipeline exploiting algorithmic cooperation via the asynchronous, generalized island model.
read more
Abstract: Efficient implementantions of bio-inspired and evolutionary algorithms are sided to state-ofthe-art optimization algorithms (Simplex Methods, SQP methods, interior points methods, etc.) and can be used concurrently (also together with algorithms coded by the user) to build an optimization pipeline exploiting algorithmic cooperation via the asynchronous, generalized island model (Izzo, Ruciński, & Biscani, 2012).
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Parametric optimization and comparative study of an organic Rankine cycle power plant for two-phase geothermal sources
Chaofan Chen,Francesco Witte,I. Tuschy,Olaf Kolditz,Haibing Shao +4 more
TL;DR: In this article , a network topology is designed with the open-source Thermal Engineering Systems in Python (TESPy) software to simulate the stationary operation of the ORC plant.
19
Calathus: A sample-return mission to Ceres
Oriane Gassot,Paolo Panicucci,Giacomo Acciarini,H. C. Bates,H. C. Bates,Manel Caballero,Pamela Cambianica,Maciej Dziewiecki,Zelia Dionnet,Florine Enengl,Selina-Barbara Gerig,Felix T. Hessinger,Lucy Kissick,Moritz Novak,Carmine Pellegrino,Carmine Pellegrino,Angèle Pontoni,Tânia M. Ribeiro,Clemens Riegler,N. Berge,Nikolaus Huber,Richard Hynek,Bartosz Kędziora,Adam K. Kiss,Maurice Martin,Javier Navarro Montilla +25 more
TL;DR: The case and the means for a return mission to Ceres are outlined, presenting the Calathus mission to return to Earth a sample of the Occator Crater faculae for high-precision laboratory analyses.
Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals.
TL;DR: In this paper, an efficient communication analysis was conducted to explain the presence of semantic universals in a domain of function words: quantifiers, restrictions on the variation in meaning exhibit cross-linguistically (e.g., that expressions of a certain type can only denote meanings with a certain special property).
16
FarmConners wind farm flow control benchmark – Part 1: Blind test results
Tuhfe Göçmen,Filippo Campagnolo,Thomas Duc,Irene Eguinoa,Søren Juhl Andersen,Vlaho Petrović,Lejla Imširović,Robert Braunbehrens,Jaime Liew,Mads Baungaard,Maarten Paul van der Laan,Guowei Qian,Maria Aparicio-Sanchez,Rubén González-Lope,Vinit V. Dighe,Marc Becker,Maarten J. Van Den Broek,Jan-Willem van Wingerden,Adam Stock,Matthew Cole,Renzo Ruisi,Ervin Bossanyi,Niklas Requate,S. Strnad,Jonas Schmidt,Lukas Vollmer,Ishaan Sood,John Myers +27 more
TL;DR: The FarmConners benchmark as discussed by the authors is a common benchmark for code comparison under controlled operation to demonstrate the potential benefits of wind farm flow control, such as increased power production and wake loss reduction.
The optimized integration of temperature-controlled transports into distributed sector-integrated energy systems
J.S. Telle,Sunke Casjen Uphoff Schlüters,Patrik Schönfeldt,Benedikt Hanke,Karsten von Maydell,Carsten Agert +5 more
TL;DR: In this article , a model for the electric integration of temperature-controlled transports into decentralized, sector-integrated energy systems of logistics facilities is presented, where an energy system interaction with the energy components of a refrigerated trailer (reefer) is also introduced.
13
References
Matplotlib: A 2D Graphics Environment
TL;DR: Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.
34.7K
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
Pauli Virtanen,Ralf Gommers,Travis E. Oliphant,Matt Haberland,Matt Haberland,Tyler Reddy,David Cournapeau,Evgeni Burovski,Pearu Peterson,Warren Weckesser,Jonathan Bright,Stefan van der Walt,Matthew Brett,Joshua Wilson,K. Jarrod Millman,Nikolay Mayorov,Andrew Nelson,Eric Jones,Robert Kern,Eric B. Larson,CJ Carey,Ilhan Polat,Yu Feng,Eric Moore,Jake Vanderplas,Denis Laxalde,Josef Perktold,Robert Cimrman,Ian Henriksen,Ian Henriksen,E. A. Quintero,Charles R. Harris,Anne M. Archibald,Antônio H. Ribeiro,Fabian Pedregosa,Paul van Mulbregt,SciPy . Contributors +36 more
TL;DR: SciPy as discussed by the authors is an open source scientific computing library for the Python programming language, which includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics.
The NumPy Array: A Structure for Efficient Numerical Computation
TL;DR: In this article, the authors show how to improve the performance of NumPy arrays through vectorizing calculations, avoiding copying data in memory, and minimizing operation counts, which is a technique similar to the one described in this paper.
SciPy 1.0: fundamental algorithms for scientific computing in Python.
Pauli Virtanen,Ralf Gommers,Travis E. Oliphant,Matt Haberland,Matt Haberland,Tyler Reddy,David Cournapeau,Evgeni Burovski,Pearu Peterson,Warren Weckesser,Jonathan Bright,Stefan van der Walt,Matthew Brett,Joshua Wilson,K. Jarrod Millman,Nikolay Mayorov,Andrew Nelson,Eric Jones,Robert Kern,Eric B. Larson,CJ Carey,Ilhan Polat,Yu Feng,Eric Moore,Jake Vanderplas,Denis Laxalde,Josef Perktold,Robert Cimrman,Ian Henriksen,Ian Henriksen,E. A. Quintero,Charles R. Harris,Anne M. Archibald,Antônio H. Ribeiro,Fabian Pedregosa,Paul van Mulbregt,SciPy . Contributors +36 more
TL;DR: SciPy as discussed by the authors is an open-source scientific computing library for the Python programming language, which has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year.