IEEE

Multi-Objective Optimization of Microgrid Based on Mutation Particle Swarm Optimization Algorithm

Abstract: This paper proposes a microgrid dispatching strategy based on dynamic multi-objective optimization, aiming to synergistically optimize the system's economy and environmental performance.
TechRepublic

Application of Multiobjective Particle Swarm Optimization to Maximize Coverage and Lifetime of Wireless Sensor Network

The autonomous nodes used for monitoring environments are known as Wireless Sensor Networks. The major use of Multi-Objective particle swarm optimization for maximizing coverage & life time using ...
IEEE

An Adaptive Multi-Objective Particle Swarm Optimization Method with Self-Learning Strategy

Abstract: Multi-objective particle swarm optimization (MOPSO) algorithm is widely used in various engineering optimization problems. However, MOPSO has premature phenomenon and lacks the ability to ...
Scientific Research Publishing

Coello, C.A.C. (2011) An Introduction to Multi-Objective Particle Swarm Optimizers. In: Gaspar-Cunha, A., et al., Eds., Soft Computing in Industrial Applications, Springer, 3-12.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Scientific Research Publishing

Singh, A.K. and Kumar, A. (2025) Multi-Objective: Hybrid Particle Swarm Optimization with Firefly Algorithm for Feature Selection with Leaky ReLU. Discover Artificial ...

ABSTRACT: The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in ...