Abstract: In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named ...

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 ...

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 ...

Abstract: This paper proposes a new meta-heuristic optimization algorithm, namely Mud Ring Algorithm (MRA) that mimics the mud ring feeding behaviour of bottlenose dolphins in the Atlantic coast of ...

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A few years ago, Austin Wrenn noticed something unsettling in his strawberry greenhouses at Wrenn's Farm in Zebulon, North Carolina. He was one of the first growers in the state to experience losses ...

Google’s Nano Banana 2 Lite shows how faster, cheaper AI image generation could reshape creative workflows and business tools. If you can only read one tech story a day, this is it. We use cookies and ...

A massive study of political persuasion shows AIs have, at best, a weak effect. Genes with related functions cluster together ...

A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of the entire brain. By using machine learning to analyze mouse brain data, ...

Moon bases, living to 100 and (finally!) flying cars. What 2076 and our future will look like may be stranger than we expect.

A quantum-inspired AI approach can analyze millions of molecular features from small datasets, improving predictions, ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...