Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...
Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.
Abstract: A transition to a smart grid requires a significant role on the part of the electricity consumer, not only at the level of big users (industrial and institutional) but also at the ...
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