A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm
Numerous problems encountered in real life cannot be actually formulated as a single
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA)
and Multi-objective Salp Swarm Algorithm (MSSA) for solving optimization problems with …
and Multi-objective Salp Swarm Algorithm (MSSA) for solving optimization problems with …
A matrix algebra approach to artificial intelligence
XD Zhang - 2020 - Springer
Human intelligence is the intellectual prowess of humans, which is marked by four basic and
important abilities: learning ability, cognition (acquiring and storing knowledge) ability …
important abilities: learning ability, cognition (acquiring and storing knowledge) ability …
Mathematicle modelling and applications of particle swarm optimization
S Talukder - 2011 - diva-portal.org
Optimization is a mathematical technique that concerns the finding of maxima or minima of
functions in some feasible region. There is no business or industry which is not involved in …
functions in some feasible region. There is no business or industry which is not involved in …
OCD: Online crowdsourced delivery for on-demand food
Online-to-offline (O2O) commerce connecting service providers and individuals to address
daily human needs is quickly expanding. In particular, on-demand food, whereby food …
daily human needs is quickly expanding. In particular, on-demand food, whereby food …
An intelligent modeling framework to optimize the spatial layout of ocean moored buoy observing networks
S Liu, M Song, S Chen, X Fu, S Zheng, W Hu… - Frontiers in Marine …, 2023 - frontiersin.org
This research is motivated by the practical requirements in the sustainable deployment of
ocean moored buoy observing networks. Ocean moored buoys play an important role in the …
ocean moored buoy observing networks. Ocean moored buoys play an important role in the …
Solving the dynamic weapon target assignment problem by an improved multiobjective particle swarm optimization algorithm
L Kong, J Wang, P Zhao - Applied Sciences, 2021 - mdpi.com
Dynamic weapon target assignment (DWTA) is an effective method to solve the multi-stage
battlefield fire optimization problem, which can reflect the actual combat scenario better than …
battlefield fire optimization problem, which can reflect the actual combat scenario better than …
Multi-objective particle swarm optimization for multimode surface wave analysis
Y Wang, X Song, X Zhang, S Yuan, K Zhang… - Computers & …, 2023 - Elsevier
Obtaining S-wave velocity profiles by inverting Rayleigh wave dispersion curves is crucial
for the Rayleigh wave exploration method. Rayleigh wave inversion is a highly nonlinear …
for the Rayleigh wave exploration method. Rayleigh wave inversion is a highly nonlinear …
An innovative hybrid multi-objective particle swarm optimization with or without constraints handling
S Cheng, H Zhan, Z Shu - Applied Soft Computing, 2016 - Elsevier
This paper presents a new hybrid optimizer in which an innovative optimal particles local
search strategy on basis of bound optimization by quadratic approximation (BOBYQA) …
search strategy on basis of bound optimization by quadratic approximation (BOBYQA) …
A multi-objective particle swarm for constraint and unconstrained problems
R Nshimirimana, A Abraham, G Nothnagel - Neural Computing and …, 2021 - Springer
Multi-objective particle swarm optimization algorithms (MOPS) are used successfully to
solve real-life optimization problems. The multi-objective algorithms based on particle …
solve real-life optimization problems. The multi-objective algorithms based on particle …