Relationships of otter populations with fish, macroinvertebrates and water quality across three Korean rivers revealed by inferential modelling based on evolutionary computation.
Sungwon HongFriedrich RecknagelHyo Gyeom KimTae-Soo ChonGea-Jae JooPublished in: Ecol. Informatics (2020)
Keyphrases
- water quality
- evolutionary computation
- evolutionary algorithm
- genetic programming
- computational intelligence
- suzhou river
- fitness landscape
- evolutionary process
- fitness function
- machine learning and data mining
- evolutionary design
- swarm intelligence
- genetic algorithm
- soft computing
- water treatment
- measured data
- water resources
- evolutionary learning
- optimisation problems
- fuzzy systems
- grey relational analysis
- fuzzy logic
- nature inspired algorithms
- gene expression programming
- evolutionary approaches
- cooperative coevolution
- multi objective
- evolvable hardware
- neural network
- decision making
- differential evolution
- theorem prover
- evolutionary computing
- power system
- fuzzy sets
- optimization problems
- simulated annealing
- objective function
- machine learning