Adaptive filtering: issues, challenges, and best-fit solutions using particle swarm optimization variants
Adaptive equalization is crucial in mitigating distortions and compensating for frequency
response variations in communication systems. It aims to enhance signal quality by …
response variations in communication systems. It aims to enhance signal quality by …
An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem
Flexible job-shop scheduling problem (FJSP) is very important in many research fields such
as production management and combinatorial optimization. The FJSP problems cover two …
as production management and combinatorial optimization. The FJSP problems cover two …
An energy-efficient scheduling and rescheduling method for production and logistics systems†
Scheduling can be defined as the allocation of available resources over time while
optimising a set of criteria like early completion time of task, holding inventory, etc. The …
optimising a set of criteria like early completion time of task, holding inventory, etc. The …
Perfectionnement des algorithmes d'optimisation par essaim particulaire: applications en segmentation d'images et en électronique
A El Dor - 2012 - theses.hal.science
La résolution satisfaisante d'un problème d'optimisation difficile, qui comporte un grand
nombre de solutions sous-optimales, justifie souvent le recours à une métaheuristique …
nombre de solutions sous-optimales, justifie souvent le recours à une métaheuristique …
Scale-free fully informed particle swarm optimization algorithm
C Zhang, Z Yi - Information Sciences, 2011 - Elsevier
This paper proposes a novel PSO algorithm, referred to as SFIPSO (Scale-free fully informed
particle swarm optimization). In the proposed algorithm a modified Barabási–Albert (BA) …
particle swarm optimization). In the proposed algorithm a modified Barabási–Albert (BA) …
H3AD: A hybrid hyper-heuristic for algorithm design
Designing an algorithm to solve a given problem is a challenging task due to the variety of
possible design choices and the lack of clear guidelines on how to choose and/or combine …
possible design choices and the lack of clear guidelines on how to choose and/or combine …
Particle swarm optimization with pbest perturbations
S Chen, I Abdulselam, N Yadollahpour… - 2020 IEEE Congress …, 2020 - ieeexplore.ieee.org
Restarts are a popular remedy to address (premature) convergence in metaheuristics. In
Particle Swarm optimization, it has been observed that swarms often “stall” as opposed to …
Particle Swarm optimization, it has been observed that swarms often “stall” as opposed to …
Using network science to assess particle swarm optimizers
Particle swarm optimizers (PSO) have been extensively used in optimization problems, but
the scientific community still lacks proper mechanisms to analyze the swarm behavior during …
the scientific community still lacks proper mechanisms to analyze the swarm behavior during …
An effective particle swarm optimization algorithm for flexible job-shop scheduling problem
Flexible job-shop scheduling problem (FJSP) is very important in many research fields such
as production management and combinatorial optimization. The FJSP problems cover two …
as production management and combinatorial optimization. The FJSP problems cover two …
Attractive and repulsive fully informed particle swarm optimization based on the modified fitness model
S Mo, J Zeng, W Xu - Soft Computing, 2016 - Springer
A novel Attractive and Repulsive Fully Informed Particle Swarm Optimization based on the
modified Fitness Model (ARFIPSOMF) is presented. In ARFIPSOMF, a modified fitness …
modified Fitness Model (ARFIPSOMF) is presented. In ARFIPSOMF, a modified fitness …