This is an optimization problem in the AtCoder Heuristic Contest (AHC) format. This problem is a very interesting one that combines two core elements: the "transportation route optimization (a type of ...

Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance ...

Dynamic Programming (DP) is a powerful technique for solving complex problems by breaking them into smaller, overlapping subproblems and avoiding redundant calculations. It’s a must-know skill for ...

Clustering is a typical and important method to discover new structures and knowledge from data sets. However, due to the difficulty of achieving high-quality clustering solutions for diverse types of ...

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Abstract: The routing is one of the main components of solid waste management in the cities where the collection takes 85% of the solid waste system cost. The objective of this research paper is to ...

Genetic algorithms are effective for optimising various real-life problems and solutions. The Traveling Salesman Problem exemplifies how genetic optimisation can improve route planning in logistics ...

Detecting protein complexes from the Protein-Protein interaction network (PPI) is the essence of discovering the rules of the cellular world. There is a large amount of PPI data available, generated ...

Accurate target detection and association are vital for the development of reliable target tracking, especially for cell tracking based on microscopy images due to the similarity of cells. We propose ...

[Ahuja00] “A greedy genetic algorithm for the quadratic assignment problem”, R. Ahuja, J. Orlin, A. Tiwari, Computers and Operations Research, vol. 27, issue 10 (Sept. 2000), 917--934, ACM (2000) ...