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A comparative study of technical trading strategies using a genetic algorithm

Macedo, Luís Lobato; Godinho, Pedro Manuel Cortesão; … - In: Computational economics 55 (2020) 1, pp. 349-381

Persistent link: https://www.econbiz.de/10012222605

Cost-based differential pricing for a make-to-order production system in a competitive segmented market

Teimoury, Ebrahim; Modarres, Mohammad; Neishaboori, Morteza - In: Journal of revenue and pricing management 19 (2020) 4, pp. 266-275

Persistent link: https://www.econbiz.de/10012297954

A general framework for scheduling equipment and manpower on container terminals

Hartmann, Sönke - 2002

In this paper, we propose a general model for various scheduling problems that occur in container terminal logistics. The scheduling model consists of the assignment of jobs to resources and the temporal arrangement of the jobs subject to precedence constraints and sequence-dependent setup...

Persistent link: https://www.econbiz.de/10011725594

Multiobjective evolutionary algorithms for energy and service level scheduling in a federation of distributed datacenters

Iturriaga, Santiago; Dorronsoro, Bernabé; Nesmachnow, … - In: International transactions in operational research : … 24 (2017) 1/2, pp. 199-228

Persistent link: https://www.econbiz.de/10011664847

An improved genetic algorithm for multidimensional optimization of precedence-constrained production planning and scheduling

Dao, Son Duy; Abhary, Kazem; Marian, Romeo - In: Journal of industrial engineering international 13 (2017) 2, pp. 143-159

, it requires a multidimensional optimization at the same time: what to make, how many to make, where to make and the order … result on a random graph. In this paper, the further development of Genetic Algorithm (GA) for this integrated optimization … the proposed GA is compared with those of three commercial optimization solvers. …

Persistent link: https://www.econbiz.de/10011765254

ATTRIVAR : optimized control charts to monitor process mean with lower operational cost

Ho, Linda Lee; Aparisi, Francisco - In: International journal of production economics 182 (2016), pp. 472-483

Persistent link: https://www.econbiz.de/10011622124

Phase-out maintenance optimization for an aircraft fleet

Wijk, Olle; Andersson, Patric; Block, Jan; Righard, Thord - In: International journal of production economics 188 (2017), pp. 105-115

Persistent link: https://www.econbiz.de/10011710546

Genetic algorithms to optimize the operating costs of electricity and heating networks in buildings considering distributed energy generation and storage

Cortés, Pablo; Muñuzuri, Jesús; Berrocal-de-O, Miguel; … - In: Computers & operations research : and their … 96 (2018), pp. 157-172

Persistent link: https://www.econbiz.de/10011870513

Reservoir Optimization-Simulation with a Sediment Evacuation Model to Minimize Irrigation Deficits

Khan, Noor; Babel, Mukand; Tingsanchali, Tawatchai; … - In: Water Resources Management 26 (2012) 11, pp. 3173-3193

Optimization-Simulation with Sediment Evacuation (ROSSE) model is a recently developed tool which internalizes sediment evacuation … routines and the simulation module in a newly developed GA-based optimization module. This article applies the ROSSE model with … and availability of economic and hydro based objective functions in the optimization model will help achieving the goal of …

Persistent link: https://www.econbiz.de/10010997258

Multi-Objective tool to optimize the Water Resources Management using Genetic Algorithm and the Pareto Optimality Concept

Nouiri, Issam - In: Water Resources Management 28 (2014) 10, pp. 2885-2901

This paper examines the development of a multi-objective tool, called “ALL_WATER”, in optimizing Water Resources Management. The objectives of satisfying demand and reducing costs were taken into consideration while at the same time respecting water salinity requirements and hydraulic...

Persistent link: https://www.econbiz.de/10010997304