Information fusion, soft computing, neural network, computing intelligence, swarm intelligence, nature-inspired metaheuristic methods, such as GA (genetic algorithm), DE (differential evolution), PSO (particle swarm optimization), HS (harmony search), ABC (artificial bee colony), BBO (biogeography-based optimization), CS (cuckoo search), BA (bat algorithm), FA (firefly algorithm) and more recently MBO (monarch butterfly optimization), EWA (earthworm optimization algorithm), EHO (elephant herding optimization), TLBO (teaching-learning-based optimization), KH (krill herd algorithm), and DSA (differential search algorithm). Real-world engineering optimization, such as scheduling, path planning, unconstrained/constrained optimization, WSN (wireless sensor networks) deployment, and image processing. |