Abstract: In recent years, the prevalence of Many-Objective Optimization Problems (MaOPs) in practical applications has been increasing. However, traditional multi-objective optimization algorithms, ...

Abstract: This paper conducts a thorough comparative analysis of optimization algorithms for an unconstrained convex optimization problem. It contrasts traditional methods like Gradient Descent (GD) ...

To address the CPP of multiple AUVs (multi-AUV) considering both sonar performance and ocean currents, we propose a new integrated algorithm based on the improved Dijkstra algorithm, Particle Swarm ...

[***JMLR-2024***] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* versions/variants (e.g., evolutionary ...

The Python 3.8 language is used in the experiments ... correlation of data or features and better assist the optimization process of CNN models (Jia et al., 2021). Its application in DO sequence ...

However, in group settings the ant colonies worked better as a team than the humans, showing fantastic coordination and problem-solving abilities. The research also revealed that the insects used ...

THIS is an incredible timelapse showing a swarm of ants outsmarting humans ... ant colonies showed incredible coordination and problem-solving abilities. The small but mighty insects showed ...

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only ...

Even if we ramp up recycling rates, it won’t solve the problem of toxic chemicals and contaminants that render the vast majority of plastic difficult or impossible to recycle. The solution needs ...