Reinforcement learning (RL) has become a highly successful framework for learning in
Markov decision processes (MDP). Due to the adoption of RL in realistic and complex …

Compliant mechanisms have become an important branch of modern mechanisms. Unlike
conventional rigid body mechanisms, compliant mechanisms transform the displacement …

Climate induced extreme weather events and weather variations will affect both the demand
of energy and the resilience of energy supply systems. The specific potential impact of …

Autonomous driving systems have witnessed significant development during the past years
thanks to the advance in machine learning-enabled sensing and decision-making …

In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

Technological applications have increasingly improved the quality of services in the logistics
industry. However, the adoption of internet-based technologies has increased the attack …

This work proposes a new multi-objective algorithm inspired from the navigation of grass
hopper swarms in nature. A mathematical model is first employed to model the interaction of …

Abstract Background: The Chimp Optimization Algorithm (ChOA) is a hunting-based model
and can be utilized as a set of optimization rules to tackle optimization problems. Due to …

This paper proposes a multi-objective version of the recently proposed Ant Lion Optimizer
(ALO) called Multi-Objective Ant Lion Optimizer (MOALO). A repository is first employed to …

This paper proposes an improved version of the grasshopper optimization algorithm (GOA)
based on the opposition-based learning (OBL) strategy called OBLGOA for solving …