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A combined genetic algorithm and simulated annealing approach for solving competitive hub location and pricing problem

Abbasi, Mehdi; Niknam, Raziyeh - In: International journal of applied management science 9 (2017) 3, pp. 188-202

Persistent link: https://www.econbiz.de/10011858283

The multi-mode resource-constrained multi-project scheduling problem : the MISTA 2013 challenge

Wauters, Tony; Kinable, Joris; Smet, Pieter; … - In: Journal of scheduling 19 (2016) 3, pp. 271-283

Persistent link: https://www.econbiz.de/10011509133

Variable neighborhood search based algorithms for high school timetabling

Fonseca, George H. G.; Santos, Haroldo Gambini - In: Computers & operations research : and their … 52 (2014), pp. 203-208

Persistent link: https://www.econbiz.de/10011281364

A new heuristic formulation for a competitive maximal covering location problem

Seyhan, Tolga H.; Snyder, Lawrence V.; Zhang, Ying - In: Transportation science : a journal of the Institute for … 52 (2018) 5, pp. 1156-1173

Persistent link: https://www.econbiz.de/10011937968

Progressive stopping heuristics that excel in individual and competitive sequential search

Rapoport, Amnon; Seale, Darryl A.; Spiliopoulos, Leonidas - In: Theory and decision : an international journal for … 94 (2023) 1, pp. 135-165

Persistent link: https://www.econbiz.de/10013549132

Genetic algorithm modeling of European Union firms' competitive advantage

Dias, Alexandre Teixeira; Martins, Henrique Cordeiro; … - In: European journal of management and business economics : … 33 (2024) 3, pp. 324-340

Purpose - This research aims to identify the optimal configuration of investment which leads firms to their best competitive positions, considering the degree of concentration in the market. Design/methodology/approach - The methodology was quantitative and based on secondary data with samples...

Persistent link: https://www.econbiz.de/10014578023