Abstract: Heuristic search algorithms are informed search strategies that use heuristics to estimate the minimal cost of the path from the current state to the goal. Using this additional knowledge, ...

Welcome to HSEvo — the code implementation from the paper: HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs. We don’t just talk the ...

This is a modern implementation of the Hybrid Genetic Search (HGS) with Advanced Diversity Control of [1], specialized to the Capacitated Vehicle Routing Problem (CVRP). This algorithm has been ...

Abstract: Recent studies have been conducted actively on scheduling in a parcel delivery system using a truck and drones to deliver parcels more effectively. In logistics, it is necessary to provide ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Our genetic heritage is not a blueprint or an algorithm, as many biologists have imagined, but something else entirely.

People communicate with each other, sometimes face to face, sometimes with a text message or phone call. Cells also communicate with each other, sometimes by touching and sometimes by sending signals ...

One of MAGA’s leading activists discusses how he views the second Trump administration, as well as various factions of the ...

Summary: Researchers successfully utilized machine learning to identify hidden neurological warning signs in the brain’s baseline electrical rhythms, bypassing the need to capture active seizures for ...

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...

“If raccoons become habituated to people or learn to associate them with food, they might behave in a more docile or tame manner around people, but this does not mean that they are domesticated,” ...