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A hybrid meta-heuristic algorithm for multi-objective IoT service placement in fog computing environments

Apat, Hemant Kumar; Sahoo, Bibhudutta; Goswami, Veena; … - In: Decision analytics journal 10 (2024), pp. 1-17

(GA), Simulated Annealing (SA) and Particle Swarm Optimization (PSO), along with their combination GA-SA, and GA-PSO. It …

Persistent link: https://www.econbiz.de/10014541508

Development of an optimized maintenance scheduling for emergency rescue railway wagons using a genetic algorithm : a case study of Iran railways company

Zavareh, Ali; Fallahiarezoudar, Ehsan; … - In: International journal of quality & reliability management 40 (2023) 6, pp. 1540-1563

Persistent link: https://www.econbiz.de/10014313836

A genetic algorithm model for optimizing vehicle routing problems with perishable products under time-window and quality requirements

Agrawal, Anil Kumar; Yadav, Susheel; Gupta, Amit Ambar; … - In: Decision analytics journal 5 (2022), pp. 1-14

The Vehicle Routing Problem (VRP) has recently piqued the interest of researchers seeking to improve the efficiency and efficacy of the transportation system in distributing commodities. Many scholars have proposed using a heterogeneous fleet in vehicle routing to minimize distribution costs...

Persistent link: https://www.econbiz.de/10014336906

Are cryptocurrencies cryptic or a source of arbitrage? : a genetic algorithm approach

Bewaji, Oluwasegun; Hamid, Sania; Aerts, Timothy; Byck, … - In: The journal of financial market infrastructures 11 (2023) 1, pp. 37-65

Persistent link: https://www.econbiz.de/10014484591

Risk aversion, reservation utility and bargaining power : an evolutionary algorithm approximation of incentive contracts

Curiel, Itza; Di Giannatale, Sonia; Labrador-Badía, Giselle - In: Computational economics 63 (2024) 2, pp. 477-511

Persistent link: https://www.econbiz.de/10014472277

A Genetic Algorithm for Lot Size and Scheduling under Capacity Constraints and Allowing Backorders

Gonçalves, José Fernando; Sousa, Paulo S. A. - Faculdade de Economia, Universidade do Porto - 2009

This paper addresses the problem of scheduling economic lots in a multi-product single machine environment. A mixed integer non-linear programming formulation is developed which finds the optimal sequence and economic lots. The model takes explicit account of initial inventories, setup times,...

Persistent link: https://www.econbiz.de/10008461335

Optimizing Epochal Evolutionary Search: Population-Size Dependent Theory

Nimwegen, Erik van; Crutchfield, James P. - Santa Fe Institute - 1998

Technological change at the firm level has commonly been modeled as random sampling from a fixed distribution o f possibilities. Such models, however, typically ignore empirically important aspects of the firm's search process, notably the observation that the present state of the firm guides...

Persistent link: https://www.econbiz.de/10005791001

Machine learning and multi-objective optimization methodology for planning construction phases of airport expansion projects

Al-Ghzawi, Mamdouh; El-Rayes, Khaled - In: Journal of air transport management : a new … 115 (2024), pp. 1-14

Persistent link: https://www.econbiz.de/10015077291

Understanding the effects of pharmaceutical promotion: a neural network approach guided by genetic algorithm-partial least squares

Lim, Chee; Kirikoshi, Toru - In: Health Care Management Science 11 (2008) 4, pp. 359-372

Persistent link: https://www.econbiz.de/10005718952

A Genetic Algorithm for UPM/LPM Portfolios

Moreno, David; Nawrocki, David; Olmeda, Ignacio - Society for Computational Economics - SCE - 2006

a new portfolio optimization framework based on downside-risk measures that are more appropriate to the investorâ … portfolio optimization framework based on minimizing the Lower-Partial-Moment (LPM) and maximizing the upper-partial-moment (UPM … the complexity of the optimization problem, and the high nonlinearities and discontinuities, we use a metaheuristic …

Persistent link: https://www.econbiz.de/10005132609