Results 11 to 20 of about 81,243 (278)

An Optimized Continuous Dragonfly Algorithm Using Hill Climbing Local Search to Tackle the Low Exploitation Problem

open access: yesIEEE Access, 2022
Optimization problems are usually solved using heuristic algorithms such as swarm intelligence algorithms owing to their ability of providing near-optimal solutions in a feasible amount of time.
Bibi Aamirah Shafaa Emambocus   +2 more
doaj   +1 more source

An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation [PDF]

open access: yes, 2011
This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, effectively merging the two swarm intelligence algorithms ...
al-Rifaie, Mohammad Majid   +2 more
core   +2 more sources

Cooperation of Nature and Physiologically Inspired Mechanism in Visualisation [PDF]

open access: yes, 2012
A novel approach of integrating two swarm intelligence algorithms is considered, one simulating the behaviour of birds flocking (Particle Swarm Optimisation) and the other one (Stochastic Diffusion Search) mimics the recruitment behaviour of one species ...
Aber, Ahmed   +2 more
core   +1 more source

Enhancing of Artificial Bee Colony Algorithm for Virtual Machine Scheduling and Load Balancing Problem in Cloud Computing

open access: yesInternational Journal of Computational Intelligence Systems, 2020
This paper proposes the combination of Swarm Intelligence algorithm of artificial bee colony with heuristic scheduling algorithm, called Heuristic Task Scheduling with Artificial Bee Colony (HABC).
Boonhatai Kruekaew, Warangkhana Kimpan
doaj   +1 more source

Blind Channel and Data Estimation Using Fuzzy Logic Empowered Cognitive and Social Information-Based Particle Swarm Optimization (PSO)

open access: yesInternational Journal of Computational Intelligence Systems, 2020
Multiple Input Multiple Output (MIMO) is a technology used to improve the channel capacity of the wireless communication systems. Rapid increase in the number of users has led to data rate demand increased in growing modern wireless communication systems.
Muhammad Asadullah   +5 more
doaj   +1 more source

Efficiency Analysis of Swarm Intelligence and Randomization Techniques [PDF]

open access: yes, 2012
Swarm intelligence has becoming a powerful technique in solving design and scheduling tasks. Metaheuristic algorithms are an integrated part of this paradigm, and particle swarm optimization is often viewed as an important landmark.
Yang, Xin-She
core   +1 more source

The swarm intelligence algorithms and their application for the educational data analysis

open access: yesОткрытое образование (Москва), 2019
The purpose of the paper is the investigation of the modern approaches and prospects for the application of swarm intelligence algorithms for educational data analysis, as well as the possibility of using of ant algorithm modifications for organizing ...
Y. Yu. Dyulicheva
doaj   +1 more source

Is swarm intelligence able to create mazes? [PDF]

open access: yes, 2015
In this paper, the idea of applying Computational Intelligence in the process of creation board games, in particular mazes, is presented. For two different algorithms the proposed idea has been examined.
Napoli, Christian   +3 more
core   +3 more sources

Stochastic Diffusion Search Review

open access: yesPaladyn, 2013
Stochastic Diffusion Search, first incepted in 1989, belongs to the extended family of swarm intelligence algorithms. In contrast to many nature-inspired algorithms, stochastic diffusion search has a strong mathematical framework describing its behaviour
al-Rifaie Mohammad Majid   +1 more
doaj   +1 more source

Improved dynamical particle swarm optimization method for structural dynamics [PDF]

open access: yes, 2019
A methodology to the multiobjective structural design of buildings based on an improved particle swarm optimization algorithm is presented, which has proved to be very efficient and robust in nonlinear problems and when the optimization objectives are in
Annicchiarico, W. C.   +1 more
core   +2 more sources

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