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

• Päätekijä: Antuchevi?ien?, Jurgita (auth)
• Muut tekijät: Kar, Samarjit (auth), Zavadskas, Edmundas Kazimieras (auth)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Aiheet: Computer science; artificial neural network; sustainability hierarchy; expert; Rough Hamy aggregator; sustainable solution; crank-slider; technology selection problem; AHP; bus pass; optimization; discrete time/cost trade-off; Rough WASPAS; hybrid multi-criteria decision making (MCDM); travel times; extended Tomada de Decisão Interativa Multicritério (TODIM); bi-level programming; multi-objective evolutionary algorithms; project scheduling; WASPAS; port scheduling; rehydration; sustainable transport policy; gold mines; hybrid mathematical model; sustainable developments; straw bales; group decision making; contractor; Total Interpretive Structural Modeling (TISM); MULTIMOORA; building investment project; heuristics; cleaner production (CP); particle swarm optimization (PSO); optimization study; critical information infrastructures; bi-objective optimization; dynamic analysis; location-allocation problem; probabilistic linguistic term sets (PLTSs); drying; multiple objective optimization; multi-objective decision-making (MODM); ranking; hierarchical SWARA; choice; linguistic hesitant fuzzy set and Standard variance; multiple-attribute decision-making (MADM); project; sustainable energy evaluation; emission of pollutants; genetic algorithm; ARAS-G; multi-purpose system; renewable energy; assessment; hospital evaluation; bat algorithm; multiple-criteria decision-making; comfort of use of buildings; energy efficiency; healthcare facility; conceptual framework; hybrid expert system; engineering; sustainability; verbal analysis; sustainable energy developments; sustainable development; hybrid; public transport; water resource management; compacted clay; multiple criteria decision making (MCDM); MCDM; particle swarm optimization algorithm; sustainable traffic; single-cylinder engine; Rough BWM; policy measures; apple; clay blocks; historic buildings; hesitant fuzzy set; construction; TOPSIS-GM; roundabout; fuzzy; sustainable transport; surface transport; grey; Multiple Attribute Decision Making (MADM); WSM; ecological building; management; Geomean; SWARA; vibration suppression; organizations; innovation in transport; risk; berth-quay crane joint scheduling; cost calculation; multiple criteria decision aid
• Linkit: DOAB: download the publication; DOAB: description of the publication

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 simultaneous...