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Genetic algorithms shaping smarter problem solving

Genetic algorithms (GAs) mimic natural selection to solve complex optimization problems across engineering, AI, and science. By evolving a population of solutions through selection, crossover, and ...
InfoQ

Microsoft's Russinovich and Hanselman Warn AI Is Hollowing Out the Junior Developer Pipeline

Microsoft's Russinovich and Hanselman argue in a CACM paper that agentic AI creates an "AI drag" on junior developers while ...
IEEE

Genetic Algorithms for a Scheduling Problem of Parcel Delivery and Pickup by Drones

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 ...

Your organization runs on answers and AI just made that a problem

Every business starts by solving a problem no one has solved before. Over time, it refines that approach into an algorithm it ...
IEEE

Weapon Target Assessment With Dynamic Hit Probabilities and Heterogeneous Targets: A Two-Stage Model and Solving Algorithms

Abstract: As a classic optimization problem, the weapon target assignment (WTA) problem is widely studied. However, existing WTA models are mostly established on single-hit destruction and static hit ...