Abstract: Path planning is a critical challenge for autonomous robots. Current algorithms lack environment-based directional guidance, often generating extensive low-quality path explorations that ...
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 ...
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 ...
Abstract: In printed circuit board assembly (PCBA), effectively and reliably addressing the placement routing problem (PRP) for dual-gantry placement machines continues to be a considerable issue. In ...
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 ...
When Google launched the March 2025 core update last week, Google said there will be a series of improvements aimed to help “better surface relevant, satisfying content” from content creators ...
Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest ...
This project aimed to implement three well-known meta-heuristic algorithms: cuckoo search (CS), bat algorithm (BA), and flower pollination algorithm (FPA). We found that three algorithms could have a ...
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