Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives.

This paper frames hardware-aware neural network pruning as a multi-objective optimization problem and introduces HAMP, a memetic Multi-Objective Evolutionary Algorithm (MOEA) that optimizes both ...

Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved evolutionary algorithm ...

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...

This week IBM researchers announced a state-of-the-art AI model for studying neurodegenerative disorders using evolutionary algorithms instead of deep learning.

Simple Numerical Optimization Using an Evolutionary Algorithm with C# Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms ...

As cities worldwide begin embracing low-altitude logistics to support rapid, flexible deliveries by drones, urban planners face an increasingly ...

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