TY  - GEN 
AU  - Del Ser, Javier
AU  - Osaba, Eneko
AU  - Molina Cabrera, Daniel
AU  - Yang, Xin-She
AU  - Salcedo-Sans, Sancho
AU  - Camacho, David
AU  - Swagatam, Das
AU  - Ponnuthurai N., Suganthan
AU  - Coello Coello, Carlos A.
AU  - Herrera Triguero, Francisco
PY  - 2019
UR  - https://hdl.handle.net/10481/87213
AB  - In recent years, the research community has witnessed an explosion of literature dealing with the adaptation of behavioral patterns and social phenomena observed in nature towards efficiently solving complex computational tasks. This trend has been...
LA  - eng
KW  - Bio-inspired Computation
KW  - Evolutionary Computation
KW  - Swarm Intelligence
KW  - Nature-inspired Computation
KW  - Dynamic Optimization
KW  - Multi-objective Optimization
KW  - Many-objective Optimization
KW  - Multi-modal Optimization
KW  - Large-Scale Global Optimization
KW  - Topologies
KW  - Ensembles
KW  - Hyper-heuristics
KW  - Surrogate model assisted optimization
KW  - Computationally Expensive Optimization
KW  - Distributed Evolutionary Computation
KW  - Memetic Algorithms
KW  - Parameter Tuning
KW  - Parameter Adaptation
KW  - Benchmarks
TI  - Bio-inspired Computation: Where We Stand and What’s Next
DO  - 10.1016/j.swevo.2019.04.008
ER  -