IEEE

State-of-Charge Estimation of Lithium-Ion Batteries Using an Adaptive Particle Filter Based on an Improved Particle Swarm Optimization Algorithm

Abstract: The state of charge (SOC) of lithium-ion batteries is a crucial parameter in battery management systems (BMSs). The particle swarm optimization (PSO) algorithm boasts advantages such as fast ...
IEEE

Dual-Frequency Power Amplifiers’ Design Based on Improved Multiobjective Particle Swarm Optimization Algorithm

Abstract: This article proposes an improved differential evolution multiobjective particle swarm optimization algorithm (DEV-MOPSO) for the design of dual-band power amplifiers (PAs). This algorithm ...
Microsoft

How we build robust-by-design algorithms

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...
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

Hatamlou, A. (2013) Black Hole: A New Heuristic Optimization Approach for Data Clustering. Information Sciences, 222, 175-184.

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 ...
GitHub

trungkiet2005/CSC14003-Search-Algorithms

Đồ án so sánh và phân tích các thuật toán Swarm Intelligence (Trí tuệ bầy đàn) với các thuật toán tối ưu truyền thống trên các bài toán tối ưu hóa liên tục và rời rạc. Algorithm Visualization: Phân ...