Nature-Inspired Algorithms and Applied Optimization

Reviews the state-of-the-art developments in nature-inspired algorithms and optimization

Presents a number of theories (no-free-lunch theorems and convergence analysis) and insights into nature-inspired algorithms

Introduces algorithms with an emphasis on applied optimization in real-world applications

Inhalt
Mathematical Analysis of Nature-Inspired Algorithms.- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation.- Global Convergence Analysis of Cuckoo Search Using Markov Theory.- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm.- Variants of the Flower Pollination Algorithm: A Review.