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Mean-Maximum Drawdown optimization of buy-and-hold portfolios using a multi-objective evolutionary algorithm

Drenovak, Mikica; Ranković, Vladimir; Urošević, Branko; … - In: Finance research letters 46 (2022) 1, pp. 1-11

Persistent link: https://www.econbiz.de/10013341443

An improved genetic algorithm for the integrated satellite imaging and data transmission scheduling problem

Zhang, Jiawei; Xing, Lining - In: Computers & operations research : and their … 139 (2022), pp. 1-11

Persistent link: https://www.econbiz.de/10013342739

A hybrid algorithm for the Vehicle Routing Problem with AND/OR Precedence Constraints and time windows

Roohnavazfar, Mina; Pasandideh, Hamid Reza; Tadei, Roberto - In: Computers & operations research : and their … 143 (2022), pp. 1-16

Persistent link: https://www.econbiz.de/10013343256

A genetic algorithm for the close-enough traveling salesman problem with application to solar panels diagnostic reconnaissance

Di Placido, Andrea; Archetti, Claudia; Cerrone, Carmine - In: Computers & operations research : and their … 145 (2022), pp. 1-15

Persistent link: https://www.econbiz.de/10013345606

Matheuristics for the flowshop scheduling problem with controllable processing times and limited resource consumption to minimize total tardiness

Prata, Bruno de Athayde; Fernandez-Viagas, Victor; … - In: Computers & operations research : and their … 145 (2022), pp. 1-10

Persistent link: https://www.econbiz.de/10013345662

MILP-based local search procedures for minimizing total tardiness in the no-idle permutation flowshop problem

Balogh, Andrea; Garraffa, Michele; O'Sullivan, Barry; … - In: Computers & operations research : and their … 146 (2022), pp. 1-15

Persistent link: https://www.econbiz.de/10013345704

A Genetic Algorithm for Job Shop Scheduling Problem in Agile Manufacturing System

Kumar, Manoj - 2022

. In this paper, we propose genetic algorithm to overcome the impact of agile environment such as changing customers … highly complex scenarios. The algorithm inherits the delicacies of Genetic Algorithm (GA) converges towards optimality in … genetic algorithm …

Persistent link: https://www.econbiz.de/10013291132

Evolutionary optimisation of large-scale activity clustering with increased automation

Beer, Dirk J. de; Joubert, Johan W. - In: Computers & operations research : and their … 146 (2022), pp. 1-13

Persistent link: https://www.econbiz.de/10013348199

A data-driven approach to forecasting ground-level ozone concentration

Marvin, Dario; Nespoli, Lorenzo; Strepparava, Davide; … - In: International journal of forecasting 38 (2022) 3, pp. 970-987

Persistent link: https://www.econbiz.de/10013349626

A parameter-less iterated greedy method for the hybrid flowshop scheduling problem with setup times and due date windows

Missaoui, Ahmed; Ruiz, Rubén - In: European journal of operational research : EJOR 303 (2022) 1, pp. 99-113

Persistent link: https://www.econbiz.de/10013363875

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