The Genetic and Evolutionary Computation Conference (GECCO 2015) will present the latest high-quality results in genetic and evolutionary computation. Topics include: genetic algorithms, genetic programming, evolution strategies, evolutionary programming, memetic algorithms, hyper heuristics, real-world applications, evolutionary machine learning, evolvable hardware, artificial life, adaptive behaviour, ant colony optimization, swarm intelligence, biological applications, evolutionary robotics, coevolution, artificial immune systems, and more.
Metaheuristic Design Patterns Workshop (MetaDeeP)
Design Patterns are structured heuristics which capture the essentials of recurring practice in an abstract form. Their widespread use has revolutionized the software industry and the previous successful workshop on Metaheuristic Design Patterns (MetaDeeP @ GECCO 2014) demonstrated that similar refactorings are possible in optimization research. If you are interested in moving towards higher-levels of research communicability and automation, then you should attend MetaDeeP 2015, the second such workshop, to be held at GECCO.
5th Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA)
The ECADA workshop explores the Automated Design of Algorithms employing hyper-heuristics which are meta-heuristics applied to algorithm space, with an emphasis on hyper-heuristics of the evolutionary computation persuasion. Genetic Programming has most famously been employed to this end, but random search and iterative hill-climbing have both also successfully been employed to automatically design novel (components of) algorithms. These methods have the advantage of producing solutions that are applicable to any instance of a specified problem domain, instead of a solution specifically produced for a single problem instance. This is particularly useful for real-world problem solving where one can afford a large amount of a priori computational time to subsequently solve many problem instances drawn from a specified problem domain. The areas of application of these methods include, for instance, data mining, machine learning, optimization, bioinformatics, image processing, economics, cyber security, critical infrastructure protection, etc.
Further Information: http://www.sigevo.org/gecco-2015/