Distributed Constraint Optimisation and Search Algorithms form a vital framework for addressing complex decision‐making and scheduling problems in multi-agent systems.

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Energy Efficiency, Environmental Monitoring, Smart Cities, Energy Consumption, Clustering Techniques, Duty Cycling, Data Condensation, Machine Learning (ML), Reinforcement Learning (RL), Supervised ...

Constrained multiobjective optimization problems are widespread in practical engineering fields. Scholars have proposed various effective constrained multiobjective evolutionary algorithms (CMOEAs) ...

In the 1840s, Ada Lovelace wrote the world’s first machine algorithm for an early computer that existed only on paper.

In order to realize AI’s giant potential, CMOs need to have a good grasp of the various kinds of applications available and how they may evolve. This article guides marketing executives through ...

The utilization of both constrained and unconstrained-based optimization for solving constrained multi-objective optimization problems (CMOPs) has become prevalent among recently proposed constrained ...