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Theoretical advances of swarm intelligence metaheuristics
Combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization
Artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm
Hybridization of algorithms
Parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles
Adaptation and applications of swarm intelligence principles to real world problems in various domains.
Combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization
Artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm
Hybridization of algorithms
Parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles
Adaptation and applications of swarm intelligence principles to real world problems in various domains.