A bio‐inspired method for engineering design optimization inspired by dingoes hunting strategies
H Peraza-Vázquez, AF Peña-Delgado… - Mathematical …, 2021 - Wiley Online Library
A novel bio‐inspired algorithm, namely, Dingo Optimization Algorithm (DOA), is proposed for
solving optimization problems. The DOA mimics the social behavior of the Australian dingo …
solving optimization problems. The DOA mimics the social behavior of the Australian dingo …
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Accurate and reliable prediction of streamflow is vital to the optimization of water resources
management, reservoir flood operations, catchment, and urban water management. In this …
management, reservoir flood operations, catchment, and urban water management. In this …
Solving optimization problems of metamaterial and double T-shape antennas using advanced meta-heuristics algorithms
This study offers an adaptive dynamic sine cosine fitness grey wolf optimizer (ADSCFGWO)
for optimizing the parameters of two types of antennas. The two types of antennas are …
for optimizing the parameters of two types of antennas. The two types of antennas are …
Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms
Drought is considered one of the costliest natural disasters that result in water scarcity and
crop damage almost every year. Drought monitoring and forecasting are essential for the …
crop damage almost every year. Drought monitoring and forecasting are essential for the …
SEB-ChOA: an improved chimp optimization algorithm using spiral exploitation behavior
The chimp optimization algorithm (ChOA) is a nature-inspired algorithm that imitates
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …
Dynamic group-based cooperative optimization algorithm
Several optimization problems from various types of applications have been efficiently
resolved using available meta-heuristic algorithms such as Particle Swarm Optimization and …
resolved using available meta-heuristic algorithms such as Particle Swarm Optimization and …
A bio-inspired method for mathematical optimization inspired by arachnida salticidade
This paper proposes a new meta-heuristic called Jum** Spider Optimization Algorithm
(JSOA), inspired by Arachnida Salticidae hunting habits. The proposed algorithm mimics the …
(JSOA), inspired by Arachnida Salticidae hunting habits. The proposed algorithm mimics the …
Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction
There is a need to develop an accurate and reliable model for predicting suspended
sediment load (SSL) because of its complexity and difficulty in practice. This is due to the fact …
sediment load (SSL) because of its complexity and difficulty in practice. This is due to the fact …
Advanced machine learning model for prediction of drought indices using hybrid SVR-RSM
Drought, as a phenomenon that causes significant damage to agriculture and water
resources, has increased across the globe due to climate change. Hence, scientists are …
resources, has increased across the globe due to climate change. Hence, scientists are …
Off-grid multi-region energy system design based on energy load demand estimation using hybrid nature-inspired optimization algorithms
Reliable energy demand estimation and optimal sizing of a stand-alone photovoltaic/wind/
battery hybrid energy system are critical for achieving sustainable development goals. This …
battery hybrid energy system are critical for achieving sustainable development goals. This …