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Marine Predators Algorithm: A nature-inspired metaheuristic
Afshin Faramarzi
, Mohammad Heidarinejad
,
Seyedali Mirjalili
, Amir H. Gandomi
Centre for Artificial Intelligence Research and Optimisation (AIRO)
Research output
:
Contribution to journal
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Article
›
peer-review
2237
Citations (Scopus)
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Keyphrases
Nature-inspired Algorithms
100%
Marine Predators Algorithm
100%
LSHADE
42%
High Performance
28%
Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
28%
Encounter Rate
28%
Publicly Available
14%
Test Functions
14%
Competitive Results
14%
Source Code
14%
Optimization Methods
14%
CEC 2017
14%
MPA Performance
14%
Function Test
14%
GA-PSO
14%
Biological Interactions
14%
Optimal Foraging
14%
IEEE CEC
14%
Building Energy Performance
14%
Ventilation Energy
14%
Foraging Strategy
14%
Real-world Engineering Design Problems
14%
Application in Engineering
14%
Marine Ecosystems
14%
Second Rank
14%
Three-class
14%
Brownian Movement
14%
Mathematics
test function φ
100%
Agricultural and Biological Sciences
Ecosystem Service
66%
Aquatic Environment
33%
Earth and Planetary Sciences
Aquatic Environment
50%