Results 1 to 10 of about 127,515 (294)
Human Head Tracking Based on Particle Swarm Optimization and Genetic Algorithm [PDF]
, 2007 This paper compares particle swarm optimization and a genetic algorithm for perception by a partner robot. The robot requires visual perception to interact with human beings.
Kubota, Naoyuki, Sulistijono, Indra Adji
core +2 more sources
Integrating Sensor Ontologies with Niching Multi-Objective Particle Swarm Optimization Algorithm. [PDF]
Sensors (Basel), 2023 Zhuang Y, Huang Y, Liu W.
europepmc +3 more sources
GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement. [PDF]
PeerJ Comput SciHan F, Fu H, Wang B, Xu Y, Lv B.
europepmc +2 more sources
Fast multi-swarm optimization for dynamic optimization problems [PDF]
, 2008 This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Li, C, Yang, S
core +1 more source
Firefly Algorithms for Multimodal Optimization [PDF]
, 2009 Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications.
Yang, Xin-She
core +1 more source
Chaos embedded particle swarm optimization algorithms
Chaos, Solitons & Fractals, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alatas, Bilal +2 more
openaire +3 more sources
Virtual machine-based task scheduling algorithm in a cloud computing environment [PDF]
, 2016 Virtualization technology has been widely used to virtualize single server into multiple servers, which not only creates an operating environment for a virtual machine-based cloud computing platform but also potentially improves its efficiency. Currently,
Chen, Kun +3 more
core +1 more source
Cuckoo Search via Levy Flights [PDF]
, 2009 In this paper, we intend to formulate a new metaheuristic algorithm, called Cuckoo Search (CS), for solving optimization problems. This algorithm is based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Levy ...
Deb, Suash, Yang, Xin-She
core +1 more source
Simplified particle swarm optimization algorithm
Acta Scientiarum. Technology, 2012 Real ants and bees are considered social insects, which present some remarkable characteristics that can be used, as inspiration, to solve complex optimization problems. This field of study is known as swarm intelligence. Therefore, this paper presents a new algorithm that can be understood as a simplified version of the well known Particle Swarm ...
Carlos Humberto Martins +2 more
openaire +2 more sources
On Particle Swarm Optimization Algorithm
Wasit Journal for Pure sciences, 2023 The swarm particle optimization algorithm is among the most important tools in finding the optimal solution to nonlinear optimization problems. The main goal of this research is an expanded study by developing an effective algorithm to find the optimal solution based on the speed of convergence.
openaire +2 more sources