evolutionary computation - Edgentiq

Evolving Solutions: A Reinforced Genetic Approach to Multi-Resource Load Balancing

AlphaEvolve: AI Unlocks New Mathematical Discoveries and Problem-Solving Capabilities

Unlocking Crossover’s Potential in Cartesian Genetic Programming Through Node Preservation

Lingnan University’s Professor Sam Kwong Tak-wu Honored with First Prize at Shandong Computer Federation Science and Technology Awards for Pioneering AI-Driven Drone Research

REvolution: A New Era for Hardware Design with AI and Evolution

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Automating Algorithm Creation with LLMs: The EvoPH Framework

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Lingnan University’s Prof. Sam Kwong Honored with 2026 IEEE Outstanding Paper Award for AI Optimization Breakthrough

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Advancing AI’s Problem-Solving: A Dual Approach to Heuristic Design

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SCOPE: A New Approach to AI Game Playing with Efficient Visual Processing

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Unveiling Optimization Challenges: A Faster Nearest-Better Network for Problem Analysis

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Unveiling the Shared Dynamics: Flow Matching and Particle Swarm Optimization

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Guiding Digital Life: A New Era of Human-AI Collaboration Through Language

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Unpacking How AI Designs Algorithms: A Deep Dive into LLM-Generated Optimizers

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Gen AI News and Updates

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Evolving Solutions: A Reinforced Genetic Approach to Multi-Resource Load Balancing

November 7, 2025

AlphaEvolve: AI Unlocks New Mathematical Discoveries and Problem-Solving Capabilities

November 6, 2025

Unlocking Crossover’s Potential in Cartesian Genetic Programming Through Node Preservation

November 4, 2025