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ILS-ESP: An Efficient, Simple, and Parameter-Free Algorithm for Solving the Permutation Flow-Shop Problem

Barrios, Barry B.; Castellà, Quim; Juan, Angel A.; … - Barcelona Graduate School of Economics (Barcelona GSE) - 2012

tests show that our parameter-free algorithm is able to compete with state-of-the-art metaheuristics for the PFSP. Also, the …

Persistent link: https://www.econbiz.de/10011132909

A metaheuristic approach for security budget allocation in utility networks

JANSSENS, Jochen; TALARICO, Luca; SÖRENSEN, Kenneth - Faculteit Toegepaste Economische Wetenschappen, … - 2014

Real-life utility networks such as smart grids, pipelines and water networks can be exposed to safety and security related risk. Preventative measures can be applied to mitigate such risks that may result in service interruptions for the users of these networks. An index of (dis)connectivity,...

Persistent link: https://www.econbiz.de/10011096088

The Terminal-Oriented Ship Stowage Planning Problem

Monaco, Maria Flavia; Sammarra, Marcello; Sorrentino, … - In: European Journal of Operational Research 239 (2014) 1, pp. 256-265

The Ship Stowage Planning Problem is the problem of determining the optimal position of containers to be stowed in a containership. In this paper we address the problem considering the objectives of the terminal management that are mainly related to the yard and transport operations. We propose...

Persistent link: https://www.econbiz.de/10011097694

Flow shop scheduling with heterogeneous workers

Benavides, Alexander J.; Ritt, Marcus; Miralles, Cristóbal - In: European Journal of Operational Research 237 (2014) 2, pp. 713-720

We propose an extension to the flow shop scheduling problem named Heterogeneous Flow Shop Scheduling Problem (Het-FSSP), where two simultaneous issues have to be resolved: finding the best worker assignment to the workstations, and solving the corresponding scheduling problem. This problem is...

Persistent link: https://www.econbiz.de/10011097742

Asset allocation and portfolio optimization problems with metaheuristics: a literature survey

Jarraya, Bilel - Volkswirtschaftliche Fakultät, … - 2013

. Metaheuristics are stochastic methods which aim to solve a large panel of NPhard problems without intervention of users. These … methods are inspired from analogies with other fields such as physics, genetics, or ethologic. Already various Metaheuristics … providing a good guide to the application of Metaheuristics to portfolio optimization and asset allocation problems. …

Persistent link: https://www.econbiz.de/10011113812

Multi-objective microzone-based vehicle routing for courier companies: From tactical to operational planning

Janssens, Jochen; Van den Bergh, Joos; Sörensen, Kenneth; … - In: European Journal of Operational Research 242 (2015) 1, pp. 222-231

Distribution companies that serve a very large number of customers, courier companies for example, often partition the geographical region served by a depot into zones. Each zone is assigned to a single vehicle and each vehicle serves a single zone. An alternative approach is to partition the...

Persistent link: https://www.econbiz.de/10011117502

Search with evolutionary ruin and stochastic rebuild: A theoretic framework and a case study on exam timetabling

Li, Jingpeng; Bai, Ruibin; Shen, Yindong; Qu, Rong - In: European Journal of Operational Research 242 (2015) 3, pp. 798-806

This paper presents a state transition based formal framework for a new search method, called Evolutionary Ruin and Stochastic Recreate, which tries to learn and adapt to the changing environments during the search process. It improves the performance of the original Ruin and Recreate principle...

Persistent link: https://www.econbiz.de/10011190747

ИДЕНТИФИКАЦИЯ НЕЧЕТКИХ СИСТЕМ: МЕТОДЫ И АЛГОРИТМЫ

АЛЕКСАНДРОВИЧ, ХОДАШИНСКИЙ ИЛЬЯ - In: Проблемы управления (2009) 3, pp. 15-23

Рассмотрены основные этапы построения нечетких моделей: экспертное оценивание, идентификация структуры, идентификация параметров. Отмечено, что экспертное...

Persistent link: https://www.econbiz.de/10011237970

Statistical Testing of Optimality Conditions in Multiresponse Simulation-Based Optimization (Replaced by Discussion Paper 2007-45)

Kleijnen, Jack P.C.; Bettonvil, B.W.M.; Del Castillo, E. - Tilburg University, Center for Economic Research - 2005

This paper derives a novel procedure for testing the Karush-Kuhn-Tucker (KKT) first-order optimality conditions in models with multiple random responses.Such models arise in simulation-based optimization with multivariate outputs.This paper focuses on expensive simulations, which have small...

Persistent link: https://www.econbiz.de/10011090910

Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81)

Kleijnen, Jack P.C.; Bettonvil, B.W.M.; Del Castillo, E. - Tilburg University, Center for Economic Research - 2007

This paper studies simulation-based optimization with multiple outputs. It assumes that the simulation model has one random objective function and must satisfy given constraints on the other random outputs. It presents a statistical procedure for test- ing whether a specific input combination...

Persistent link: https://www.econbiz.de/10011091786