Call for Papers
Topics of interest for submission include, but are not limited to:
Algorithmic Intelligence in Optimisation, Control and Design
Approximate and exact algorithms for Combinatorial and Continuous Optimisation
Cuckoo Search
Wolf Search Algorithm
Elephant Search Algorithm
Monarch Butterfly Algorithm
Particle swarm optimisation
Artificial bees and fireflies algorithm
Bacterial foraging optimisation
Ant colony optimisation
Swarm Intelligence
Swarm robotics
Review and comparative studies of swarm intelligence techniques
Theory and practice of swarm intelligence methods in different domains
Real-world problem solving using swarm intelligence method
Approximate and exact algorithms for Combinatorial and Continuous Optimisation
Cuckoo Search
Wolf Search Algorithm
Elephant Search Algorithm
Monarch Butterfly Algorithm
Particle swarm optimisation
Artificial bees and fireflies algorithm
Bacterial foraging optimisation
Ant colony optimisation
Swarm Intelligence
Swarm robotics
Review and comparative studies of swarm intelligence techniques
Theory and practice of swarm intelligence methods in different domains
Real-world problem solving using swarm intelligence method
Self-organisation, Self-Assembly, Self-Generation, Self-Healing
of artificial systems
Neural networks
Evolutionary Dynamics
Memetic Theory
Artificial Cultures in multi-agent systems, webbots and robots
Landscape Analysis
Methodological aspects of experimental computing
Search based Software Engineering
Artificial immune systems
Glow worm swarm optimisation
Genetic Programming
Constraint Optimisation
Real-world applications
Machine learning and Data Mining
Hybrid (Parallel) Metaheuristics such as Tabu Search, Path relinking, Scatter Search, GRASP methods, Iterated Local Search, Simulated annealing, Variable Neighborhood Search, Evolutionary Algorithms, Learning Classifier Systems, Memetic Algorithms, Cultural Algorithms, etc.
Neural networks
Evolutionary Dynamics
Memetic Theory
Artificial Cultures in multi-agent systems, webbots and robots
Landscape Analysis
Methodological aspects of experimental computing
Search based Software Engineering
Artificial immune systems
Glow worm swarm optimisation
Genetic Programming
Constraint Optimisation
Real-world applications
Machine learning and Data Mining
Hybrid (Parallel) Metaheuristics such as Tabu Search, Path relinking, Scatter Search, GRASP methods, Iterated Local Search, Simulated annealing, Variable Neighborhood Search, Evolutionary Algorithms, Learning Classifier Systems, Memetic Algorithms, Cultural Algorithms, etc.
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