Publication
Approximate BDD Optimization with Prioritized epsilon-Preferred Evolutionary Algorithm
Publications associées (32)
50 years of behavioral models for transportation and logistics
Michel Bierlaire, Léa Massé Ricard
Fifty years ago, transportation and logistics problems were primarily analyzed either from a supply-side or a demand-side perspective, with the fields of operations research and demand modeling evolving separately. Since then, there has been a growing inte ...
2024Robust optimization of control parameters for WEC arrays using stochastic methods
This work presents a new computational optimization framework for the robust control of parks of Wave Energy Converters (WEC) in irregular waves. The power of WEC parks is maximized with respect to the individual control damping and stiffness coefficients ...
MOX Modeling and Scientific Computing2023Stochastic-robust planning optimization method based on tracking-economy extreme scenario tradeoff for CCHP multi-energy system
The load tracking performance of combined cooling, heating, and power multi-energy system (CCHP-MES) greatly depends on the equipment capacity configuration. And the frequent fluctuations in the source-load uncertainty puts higher demands on the load track ...
PERGAMON-ELSEVIER SCIENCE LTD2023Evolutionary Algorithm Optimization of Staggered Biological or Biomimetic Composites Using the Random Fuse Model
Roberto Guarino, Gianluca Costagliola, Federico Bosia
In Nature, biological materials such as nacre, bone, and dentin display an enhanced mechanical strength due to their structure characterized by hard inclusions embedded in a soft matrix. This structure has inspired the design of artificial materials with o ...
2020Shape optimization of segmental porous baffles for enhanced thermo-hydraulic performance of shell-and-tube heat exchanger
This study presents the development and evaluation of a novel shell-and-tube heat exchanger (STHX) design with segmental porous baffles. Computational fluid dynamics (CFD) in combination with machine learning tools are utilized to investigate the thermo-hy ...
PERGAMON-ELSEVIER SCIENCE LTD2020Optimum Frame Design with Reused Stock Elements
Corentin Jean Dominique Fivet, Gennaro Senatore, Jan Friedrich Georg Brütting
This paper presents optimization methods for the synthesis of frame structures from a stock of reused elements. Reusing structural elements over multiple service lives has the potential to reduce the environmental impacts of building structures. This is be ...
2019Exact Convex Modeling of the Optimal Power Flow for the Operation and Planning of Active Distribution Networks with Energy Storage Systems
The distribution networks are experiencing important changes driven by the massive integration of renewable energy conversion systems. However, the lack of direct controllability of the Distributed Generations (DGs) supplying Active Distribution Networks ( ...
EPFL2016Automated Reconstruction of Evolving Curvilinear Tree Structures
Curvilinear networks are prevalent in nature and span many different scales, ranging from micron-scale neural structures in the brain to petameter-scale dark-matter arbors binding massive galaxy clusters. Reliably reconstructing them in an automated fashio ...
EPFL2016A method for aggregating external operating conditions in multi-generation system optimization models
Adriano Viana Ensinas, Christoffer Lythcke-Jørgensen
This paper presents a novel, simple method for reducing external operating condition datasets to be used in multi-generation system optimization models. The method, called the Characteristic Operating Pattern (CHOP) method, is a visually-based aggregation ...
2016SwarmViz: An Open-Source Visualization Tool for Particle Swarm Optimization
Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario, Guillaume Stefan Jornod
Particle Swarm Optimization (PSO) is a meta-heuristic for solving high dimensional optimization problems. Due to the large number of dimensions usually employed with PSO, it is not trivial to visualize and monitor the progress of the algorithm. Because of ...
2015