Search Results - subject:"Learning Strategy"

Multiple strategies based orthogonal design particle swarm optimizer for numerical optimization

Qin, Quande; Cheng, Shi; Zhang, Qingyu; Wei, Yi-Ming; … - In: Computers & operations research : and their … 60 (2015), pp. 91-110

Persistent link: https://www.econbiz.de/10011279666

Learning Strategies in Coopetitive Environments

Baumard, Philippe - HAL - 2008

The objective of this chapter is to explore the learning strategies that can be deployed by firms in coopetitive configurations with no other choice than deploying an “adverse learning” mechanism to reach their customers through cooperation with their competitors. After exploring the...

Persistent link: https://www.econbiz.de/10008792167

An international learning typology: strategies and outcomes for internationalizing firms

Åkerman, Niklas - In: Baltic Journal of Management 9 (2014) 4, pp. 382-402

international learning-strategy typology derived from extant theory on knowledge acquisition in internationalization, constituted by … strategies. The study suggests that there is a link between learning strategy and outcomes in terms of growth and international … quantitative validation is called for. Practical implications – Managers need to be aware of the consequences of their learning …

Persistent link: https://www.econbiz.de/10014685990

An international learning typology : strategies and outcomes for internationalizing firms

Åkerman, Niklas - In: Baltic journal of management 9 (2014) 4, pp. 382-402

Persistent link: https://www.econbiz.de/10010431532

Cognitive learning strategy as a partial effect on Major Field Test in Business results

Strang, Kenneth David - In: Journal of education for business 89 (2014) 3, pp. 142-148

Persistent link: https://www.econbiz.de/10010403519

An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties

Bahmani-Firouzi, Bahman; Farjah, Ebrahim; … - In: Energy 50 (2013) C, pp. 232-244

-adaptive learning strategy for velocity updating are used to tune the inertia weight factor and to escape from local optima …

Persistent link: https://www.econbiz.de/10011054936

Two-stage based ensemble optimization framework for large-scale global optimization

Wang, Yu; Huang, Jin; Dong, Wei Shan; Yan, Jun Chi; … - In: European Journal of Operational Research 228 (2013) 2, pp. 308-320

Large-scale global optimization (LSGO) is a very important and challenging task in optimization domain, which is embedded in many scientific and engineering applications. In order to strengthen both effectiveness and efficiency of LSGO algorithm, this paper designs a two-stage based ensemble...

Persistent link: https://www.econbiz.de/10010662527

Multiple-round timber auction design and simulation

Farnia, Farnoush; Frayret, Jean-Marc; LeBel, Luc; … - In: International Journal of Production Economics 146 (2013) 1, pp. 129-141

This paper presents a multiple-round timber auction simulation, developed in order to study various configurations of auction design. In this study, simultaneous sequential timber auctions are modelled and analysed using agent-based simulation technology. As there are many individual items in...

Persistent link: https://www.econbiz.de/10010709140

Multiple-round timber auction design and simulation

Farnia, Farnoush; Frayret, Jean-Marc; LeBel, Luc; … - In: International journal of production economics 146 (2013) 1, pp. 129-141

Persistent link: https://www.econbiz.de/10010221747

A note on infinite-armed Bernoulli bandit problems with generalized beta prior distributions

Chen, Kung-Yu; Lin, Chien-Tai - In: Statistical Papers 46 (2005) 1, pp. 129-140

Persistent link: https://www.econbiz.de/10008533888