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Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

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Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.

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Keywords

  • AHP
  • Apple
  • ARAS-G
  • artificial neural network
  • assessment
  • bat algorithm
  • berth-quay crane joint scheduling
  • bi-level programming
  • bi-objective optimization
  • building investment project
  • bus pass
  • Choice
  • clay blocks
  • cleaner production (CP)
  • comfort of use of buildings
  • compacted clay
  • conceptual framework
  • construction
  • contractor
  • cost calculation
  • crank–slider
  • critical information infrastructures
  • discrete time/cost trade-off
  • drying
  • dynamic analysis
  • ecological building
  • emission of pollutants
  • Energy Efficiency
  • Engineering
  • expert
  • extended Tomada de Decisão Interativa Multicritério (TODIM)
  • fuzzy
  • genetic algorithm
  • Geomean
  • gold mines
  • grey
  • Group decision making
  • healthcare facility
  • hesitant fuzzy set
  • heuristics
  • hierarchical SWARA
  • Historic buildings
  • hospital evaluation
  • hybrid
  • hybrid expert system
  • hybrid mathematical model
  • hybrid multi-criteria decision making (MCDM)
  • innovation in transport
  • linguistic hesitant fuzzy set and Standard variance
  • location-allocation problem
  • Management
  • MCDM
  • multi-objective decision-making (MODM)
  • multi-objective evolutionary algorithms
  • multi-purpose system
  • MULTIMOORA
  • multiple attribute decision making (MADM)
  • multiple criteria decision aid
  • multiple criteria decision making (MCDM)
  • multiple objective optimization
  • multiple-attribute decision-making (MADM)
  • multiple-criteria decision-making
  • optimization
  • optimization study
  • Organizations
  • particle swarm optimization (PSO)
  • particle swarm optimization algorithm
  • Policy measures
  • port scheduling
  • probabilistic linguistic term sets (PLTSs)
  • project
  • project scheduling
  • Public transport
  • Ranking
  • rehydration
  • renewable energy
  • Risk
  • Rough BWM
  • Rough Hamy aggregator
  • Rough WASPAS
  • roundabout
  • single-cylinder engine
  • straw bales
  • surface transport
  • sustainability
  • sustainability hierarchy
  • Sustainable development
  • sustainable developments
  • sustainable energy developments
  • sustainable energy evaluation
  • sustainable solution
  • sustainable traffic
  • sustainable transport
  • sustainable transport policy
  • SWARA
  • technology selection problem
  • TOPSIS-GM
  • Total Interpretive Structural Modeling (TISM)
  • travel times
  • verbal analysis
  • vibration suppression
  • WASPAS
  • water resource management
  • WSM

Links

DOI: 10.3390/books978-3-03921-143-2

Editions

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