Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review
A key aspect of the design of evolutionary and swarm intelligence algorithms is studying
their performance. Statistical comparisons are also a crucial part which allows for reliable …
their performance. Statistical comparisons are also a crucial part which allows for reliable …
Performance assessment of the metaheuristic optimization algorithms: an exhaustive review
The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …
problems compared to their deterministic counterparts. Despite this advantage, the …
Chimp optimization algorithm
This paper proposes a novel metaheuristic algorithm called Chimp Optimization Algorithm
(ChOA) inspired by the individual intelligence and sexual motivation of chimps in their group …
(ChOA) inspired by the individual intelligence and sexual motivation of chimps in their group …
Hunter–prey optimization: Algorithm and applications
This paper proposes a new population-based optimization algorithm called hunter–prey
optimizer (HPO). This algorithm is inspired by the behavior of predator animals such as …
optimizer (HPO). This algorithm is inspired by the behavior of predator animals such as …
Multi-step crude oil price prediction based on lstm approach tuned by salp swarm algorithm with disputation operator
L Jovanovic, D Jovanovic, N Bacanin… - Sustainability, 2022 - mdpi.com
The economic model derived from the supply and demand of crude oil prices is a significant
component that measures economic development and sustainability. Therefore, it is …
component that measures economic development and sustainability. Therefore, it is …
Bio-inspired computation: Where we stand and what's next
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm
AW Mohamed, AA Hadi, AK Mohamed - International Journal of Machine …, 2020 - Springer
This paper proposes a novel nature-inspired algorithm called Gaining Sharing Knowledge
based Algorithm (GSK) for solving optimization problems over continuous space. The GSK …
based Algorithm (GSK) for solving optimization problems over continuous space. The GSK …
Harris hawks optimization: Algorithm and applications
In this paper, a novel population-based, nature-inspired optimization paradigm is proposed,
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …
Dendritic neuron model with effective learning algorithms for classification, approximation, and prediction
An artificial neural network (ANN) that mimics the information processing mechanisms and
procedures of neurons in human brains has achieved a great success in many fields, eg …
procedures of neurons in human brains has achieved a great success in many fields, eg …
A two-stage cooperative evolutionary algorithm with problem-specific knowledge for energy-efficient scheduling of no-wait flow-shop problem
F Zhao, X He, L Wang - IEEE transactions on cybernetics, 2020 - ieeexplore.ieee.org
Green scheduling in the manufacturing industry has attracted increasing attention in
academic research and industrial applications with a focus on energy saving. As a typical …
academic research and industrial applications with a focus on energy saving. As a typical …