Microgrid implementation often lacks economic and environmental efficiencies due to sub-optimal configuration operation. The current study aims explore the optimal operational strategies for a microgrid system with maximum life cycle co-benefits. This was inspired by real optimization need Shoals Marine Laboratory, seasonal marine teaching research field station on Appledore Island, Maine. A dy...

A decision making process requires the values of conflicting objectives for alternatives and the selection of the best alternative according to the needs of decision makers. Multi-objective optimization methods may provide solution for this selection. In this paper it is aimed to present the laptop selection problem based on MOORA plus full multiplicative form (MULTIMOORA) and multi-objective o...

We propose a Mamdani-Type Fuzzy Inference based posterior decision-making approach to multi-objective diet optimization problem. optimize the problem with evolutionary algorithms that result in tens/hundreds of non-dominated solutions which is too large pick one them by decision-maker. Even though all are optimized for objectives simultaneously, not objective functions may be equally important ...

Abstract In many real-world scenarios, the utility of a user is derived from single execution policy. this case, to apply multi-objective reinforcement learning, expected returns must be optimised. Various scenarios exist where user’s preferences over objectives (also known as function) are unknown or difficult specify. such set optimal policies learned. However, settings maximised have been la...

the sensitivity analysis for multi-attribute decision making (madm) problems is important for two reasons: first, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...