Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Modern encryption relies on mathematical assumptions that quantum computers may soon render obsolete. This technological shift creates new ...
We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Identified and explained in detail the gaps and possible future works for improvement in two popular research papers that used heuristic and meta-heuristic algorithms to solve multi-objective vehicle ...
ABSTRACT: Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates ...
In urban areas with many commercial facilities, patrolling by police officers or security guards is essential for crime prevention, in addition to the use of surveillance cameras. To address the ...
In a victory for human intellect, developer Przemysław Dębiak has defeated an AI in a gruelling coding battle. The event, the AtCoder World Tour Finals 2025 Heuristic Contest held in Tokyo, pitted ...
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