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Scenario analysis using Bayesian networks: A case study in energy sector
This paper provides a general overview of creating scenarios for energy policies using Bayesian Network (BN) models. BN is a useful tool to analyze the complex structures, which allows observation ofExpand
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Facility Location Selection Using A Fuzzy Outranking Method
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Development of future energy scenarios with intelligent algorithms: Case of hydro in Turkey
Energy production is considered as one of the key indicators for economic development. It is vital to improve the renewable energy production for global sustainability, while leveraging the nationalExpand
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A 2-phase constructive algorithm for cumulative vehicle routing problems with limited duration
Heuristics for cumulative vehicle routing problem with time limit are developed.Clarke & Wright Algorithm is enhanced by considering load flow.Proposed version improves significantly solution qualityExpand
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Reduction of CO2 Emissions in Cumulative Multi-Trip Vehicle Routing Problems with Limited Duration
In recent years, as a result of the increase in environmental problems, green logistics has become a focus of interest by researchers, governments, policy makers, and investors. In this study, aExpand
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A Cumulative Belief Degree Approach for Prioritization of Energy Sources: Case of Turkey
Energy planning is difficult to model owing to its complex structure, with numerous decision makers, criteria, and scenarios. Fortunately, decision-making methods can be helpful for the sustainableExpand
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Computational Intelligence: Past, Today, and Future
Computational intelligence is defined as the study of the design of intelligent agents. Since its relation to other branches of computer science is not well-defined, computational intelligence meansExpand
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A Taxonomy for the Flexible Job Shop Scheduling Problem
This chapter aims at developing a taxonomic framework to classify the studies on the flexible job shop scheduling problem (FJSP). The FJSP is a generalization of the classical job shop schedulingExpand
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Fuzzy Decision Trees
Decision trees are one of the most widely used classification techniques because of their easily understandable representation. In the literature, various methods have been developed to generateExpand
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A priority-based genetic algorithm for a flexible job shop scheduling problem
This research is partially supported by LATNA Laboratory, NRU HSE, RF government grant, ag. 11.G34.31.0057.
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