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firefly-algorithm
- The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorith
Firefly-optimisation
- the firefly optimiser inspired from the swarm behaviour of fireflies in nature
hoopoe-heuristic-optimization.txt
- Most optimization problems in real life applications are often highly nonlinear. Local optimization algorithms do not give the desired performance. So, only global optimization algorithms should be used to obtain optimal solutions. This paper propose
ant-colony-optimization
- Large-scale problems are nonlinear problems that need metaheuristics, or global optimization algorithms. This paper reviews nature-inspired metaheuristics, then it introduces a framework named Competitive Ant Colony Optimization inspired by the chemi
EWA
- Earthworms can aerate the soil with their burrowing action and enrich the soil with their waste nutrients. Inspired by the earthworm contribution in nature, a new kind of bio-inspired metaheuristic algorithm, called earthworm optimization algorithm (
BatAlgo-forGriewankFunction
- Bat Algorithm is one of the recently-developed nature-inspired methods in the field of computational intelligence Bat Algorithm (BA) have been adopted using the selected benchmark functions Griewank Function.
apso
- The Accelerated Particle Swarm Optimization: For detail, section Chapter 5 (section 5.3) in the book by Xin-She Yang, Nature-Inspired Metaheuristic Algorithms, First Edition, Luniver Press, (2008). Also in Chapter 8 (section 8.3, pag