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This volume contains proceedings of the Seventh Joint Conference on Computational Intelligence (IJCCI 2015), which was sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC). This conference was held in Lisbon, Portugal.
Significant recent effort in genetic programming has focused on selecting and combining candidate solutions according to a notion of behaviour defined in semantic space and has also highlighted disadvantages of relying on a single scalar measure to capture the complexity of program performance in evolutionary search. In this paper, we take an alternative, yet complementary approach which directs crossover...
Accurate system modelling is an important prerequisite for optimized process control in modern industrial scenarios. The task of parameter identification for a model can be considered as an optimization problem of searching for a set of continuous parameters to minimize the discrepancy between the model outputs and true output values. Differential Evolution (DE), as a class of population-based and...
Multimodal optimization (MMO) is the problem of finding many or all global and local optima. In recent years many efficient nature-inspired techniques (based on ES, PSO, DE and others) have been proposed for real-valued problems. Many real-world problems contain variables of many different types, including integer, rank, binary and others. In this case, the weakest representation (namely binary representation)...
This talk presents some recent advances in model-based evolutionary multi-objective optimization. We first present a regularity based estimation of distribution algorithm that uses a probabilistic model containing a principal curve and a local Gaussian model. We show that the proposed algorithm is able to work efficiently for large dimensional optimization problems with a small population size. Then,...
Artificial intelligence and games go way back. At least to Turing, who re-invented the Minimax algorithm to play Chess even before he had a computer, and to Samuel, who invented a predecessor of TD-learning in order to build a Checkers-playing program in the 1950s. Games are important for AI because they are designed to challenge and train human cognitive capabilities, and are thus uniquely relevant...
Can you apply Computational Intelligence in industry? Is there Evolutionary Computation life outside Academia? Will Benson care? I'll try to find answers to these and other questions with a few reflections from my own history.
The keynote speech will provide a round picture of the developments and recent advances in the field of evolving fuzzy systems (EFS) achieved during the last decade since their first time appearance at the beginning of this century.
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