A mayfly optimization algorithm
K Zervoudakis, S Tsafarakis - Computers & Industrial Engineering, 2020 - Elsevier
This paper introduces a new method called the Mayfly Algorithm (MA) to solve optimization
problems. Inspired from the flight behavior and the mating process of mayflies, the proposed …
problems. Inspired from the flight behavior and the mating process of mayflies, the proposed …
Overview on binary optimization using swarm-inspired algorithms
Swarm Intelligence is applied to optimisation problems due to its robustness, scalability,
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …
Particle swarm optimisation in nonlinear model predictive control; comprehensive simulation study for two selected problems
J Zietkiewicz, P Kozierski… - International Journal of …, 2021 - Taylor & Francis
Direct model predictive control applications for nonlinear systems can result in non-convex
minimisation problems, which is additionally complicated if systems are non-minimum …
minimisation problems, which is additionally complicated if systems are non-minimum …
[HTML][HTML] Beyond exploitation: Measuring the impact of local search in swarm-based memetic algorithms through the interactions of individuals in the population
Memetic algorithms are known for their enhanced solution refinement capabilities. These
capabilities are a result of incorporating local-search methods into population-based …
capabilities are a result of incorporating local-search methods into population-based …
Uncovering the social interaction network in swarm intelligence algorithms
Swarm intelligence is the collective behavior emerging in systems with locally interacting
components. Because of their self-organization capabilities, swarm-based systems show …
components. Because of their self-organization capabilities, swarm-based systems show …
Power consumption minimization by distributive particle swarm optimization for luminance control and its parallel implementations
CL Liao, SJ Lee, YS Chiou, CR Lee, CH Lee - Expert Systems with …, 2018 - Elsevier
We present an intelligent system, based on the particle swarm optimization (PSO) technique,
to solve a power consumption minimization problem which is commonly encountered at the …
to solve a power consumption minimization problem which is commonly encountered at the …
Better exploration-exploitation pace, better swarm: Examining the social interactions
Swarm-based models have successfully solved real-world problems in the past two decades
and yet they continue to exhibit a major shortcoming of premature convergence. Previous …
and yet they continue to exhibit a major shortcoming of premature convergence. Previous …
A three-phase artificial orcas algorithm for continuous and discrete problems
In this paper, a new swarm intelligence algorithm based on orca behaviors is proposed for
problem solving. The algorithm called artificial orca algorithm (AOA) consists of simulating …
problem solving. The algorithm called artificial orca algorithm (AOA) consists of simulating …
Characterizing the social interactions in the artificial bee colony algorithm
L Taw, N Gurrapadi, M Macedo… - 2019 IEEE Congress …, 2019 - ieeexplore.ieee.org
Computational swarm intelligence consists of multiple artificial simple agents exchanging
information while exploring a search space. Despite a rich literature in the field, with works …
information while exploring a search space. Despite a rich literature in the field, with works …
An approach to assess swarm intelligence algorithms based on complex networks
The growing number of novel swarm-based meta-heuristics has been raising debates
regarding their novelty. These algorithms often claim to be inspired by different concepts …
regarding their novelty. These algorithms often claim to be inspired by different concepts …