A black-box optimization problem may be defined by the set of all potential solutions and a procedure for evaluating competing solutions.
The separation of problem specifics from an optimizer enables a straightforward formulation of many different real-world problems within
this framework. That is why the design of robust and scalable black-box optimization techniques has become one of the most important challenges in computational optimization. This talk focuses on an advanced black-box optimization algorithm called the hierarchical Bayesian optimization algorithm (hBOA), which derives inspiration from evolutionary computation and machine learning. The talk motivates the algorithm, describes its basic procedure, and presents interesting results of its application to challenging real-world problems. The talk also lists important directions for future research in this area.

Session: Evolutionary Computing I

The magic square as a benchmark: comparing manual solution with MIP solution and AI algorithm and improved evolutionary algorithm

On the solution of ill-conditioned systems of Linear and Non-Linear Equations via Genetic Algorithms (GAs) and Nelder-Mead Simplex search

Numerical Solution of Non-Linear Ordinary Differential Equations via Collocation Method (Finite Elements) and Genetic Algorithms

Investigation of Matchmaking and a Genetic Algorithm for Multilateral and Integrative E-Negotiations
By Simone A. Ludwig, Larry Raisanen, S.M.S. Reyhani [496-143]

Session: Evolutionary Computing II

Compressed Linear Genetic Programming: preliminar empirical parameter study on the Even-n-parity problem

Experimental analysis in simulated annealing to scheduling problems when upper bounds are used
By Marco Antonio Cruz-Chávez, Juan Frausto-Solís, David Juárez-Romero [496-284]

Enhancing Concurrent Node Movements in Mobile Ad-hoc Networks while Preserving Connection Stability

Application of evolutionary computing for hybrid model based optimization of biochemical processes
By Vytautas Galvanauskas, Rimvydas Simutis, Donatas Levisauskas [496-198]

Distributed Population Based Incremental Learning
By Rui Rodrigues [496-218]

Particle swarm and simulated annealing for multi-global optimization
By A. Ismael F. Vaz, Ana I.P.N. Pereira, Edite M.G.P. Fernandes [496-211]

Intelligent Ensemble System Aids Osteoporosis Early Detection
By Wenjia Wang and Sarah Rae [496-221]

A New Approach to Fault -Tolerant Mobile Agent Execution in Distributed Systems
By Hojatollah Hamidi and K. Mohammadi [496-237]

Modeling Fault-Tolerant and Secure Mobile Agent Execution
By Hojatollah Hamidi and K . Mohammadi [496-239]

An Image Segmentation Algorithm Based on Fuzzy Clustering and Genetic Algorithms with a New Distance
By Hachouf Zeggari, Ahmed Seghir, A. Zeggari [496-255]

Genetic Algorithm for Optimal Capacitor Allocation in Radial Distribution Systems
By K. S. Swarup [496-294]

Constrained Evolutionary Programming Approaches to Power System Economic Dispatch
By K. S. Swarup [496-293]

Ant Colony Optimization for Economic Generator Scheduling and Load Dispatch
By K. S. Swarup [496-292]

Modeling Fault-Tolerant and Reliable Mobile Agent Execution in Distributed Systems
By Hojat allah Hamidi and K. Mohammadi [496-280]

A New Approach for Evaluation Fault-Tolerant Mobile Agent Execution in Distributed Systems
By Hojatollah Hamidi and K . Mohammadi [496-279]

Special Session: Challenges in Real World Optimization Using Nature Inspired Computing and Meta-Heuristics

Ant colony optimization algorithm (ACO); a new heuristic approach for engineering optimization
By Mohammad Reza Jalali, Abbas Afshar, Miguel A. Marino [496-192]

Proposal of Multi-Agent based Model for Dynamic Scheduling in Manufacturing
By Ana Madureira, Joaquim Santos [496-AM5]

Analyses of the Resources System Selection Algorithms for Agile/Virtual Enterprises Integration Through Genetic Algorithms
By Paulo Ávila, Goran D. Putnik, Ana M. Madureira [496-AM1]

Optimal Short-Term Contract Allocation Using Particle Swarm Optimization
By Filipe Azevedo, Zita A. Vale D S. [496-AM2]

Constraint Programming and Genetic Algorithms to Solve Layout Design Problem
By Jose Tavares [496-AM3]

A Neural Network Control Strategy for Improved Energy Capture on a Variable-Speed Wind Turbine
By Antonio F. Silva, Fernando A. Castro, Jose N. Fidalgo [496-AM4]

RAMP: Fundamentals, Applications and New Developments
By Cesar Rego [496-269]

Optimization algorithms inspired by electromagnetism and stigmergy in electro-technical engineering
By Peter Korošec, Gregor Papa, Jurij Šilc [496-301]

Challenges in Real World Sightseeing Tour Optimization Using Meta-Heuristics
By Jean-Marc Godart [496-205]

Session: Evolutionary Computing and Applications III

Evolutionary Programming Optimization Technique for Solving Reactive Power Planning in Power System
By Ismail Musirin, Titik Khawa Abdul Rahman [496-173]

Tandem Application of Exploration Factors and Variant Spin Mechanism on Steady State Genetic Algorithms for Loss Minimisation in Power System
By M.F. Mohd Kamal, T. K. A. Rahman, I. Musirin [496-204]

Using ACO and Rough Set Theory to Feature Selection
By Rafael Bello, Ann Nowe, Peter Vrancx, Yudel Gómez, Yailé Caballero [496-199]

Logic Circuits Synthesis Through Genetic Algorithms
By Cecília Reis, J. A. Tenreiro Machado and J. Boaventura Cunha [496-209]

Generalized multiobjective multitree model solution using moea
By Benjamin Baran, Ramon Fabregat, Yezid Donoso, Fernando Solano, Jose Marzo [496-250]

Session: Evolutionary Computing III

A Data Mining technique for Data Clustering based on Genetic Algorithm
By J. Aguilar [496-170]

Clonal Selection-Based Artificial Immune System Optimisation Technique For Solving Economic Dispatch in Power System

A Clustering Technique for Defect Inspection
By Z.W. Zhong and N.G. Shankar [496-153]

Novel intelligent edge detector for sonographical images
By Ali Rafiee, Mohammad Hasan Moradi, Mohammad Reza Farzaneh [496-123]

Optimizing the Searching Techniques
By Jatinder Ohri, Rajesh Ohri, Karnpal Singh [496-116]

Analog Fault Detection Using Two Stage RBF Neural Network
By Reza Asgary and Mahdi Yusefkhani [496-147]

Design Of High Performance Synchronous Digital Circuits For Evolvable Hardware (EHW) Application Using Genetic Algorithm
By J. Bharathi, P. Sakthivel [496-226]

Special Session: Application of ANN, Fuzzy, Evolutionary and Metaheuristic Algorithms to Water Resources Planning and Management

Combining Stochastic Dynamic Programming (SDP) and Artificial Neural Networks (ANN) in Optimal Reservoir Operation
By Omid Bozorg Haddad, Saeed Alimohammadi [496-258]

ANN in River Flow Forecasting
By Omid Bozorg Haddad, Farid Sharifi, Saeed Alimohammadi [496-277]

Optimum Design of Stepped Spillways Using Genetic Algorithm
By Omid Bozorg Haddad, Farid Sharifi, Mahsoo Naderi [496-278]

Reservoir Optimal Operation Using DP-ANN
By Farid Sharifi, Omid Bozorg Haddad, Mahsoo Naderi [496-281]

Sensitivity to Crossover and Mutation Probabilities in Levee Setback Optimization
By M. Shafiei, O. Bozorg Haddad [496-311]

Optimum design of water conveyance system by ant colony optimization algorithms
By Habibeh Abbasi, Abbas Afshar, Mohammad Reza Jalali [496-322]

River Flow Forecasting with ANN
By Omid Bozorg Haddad, Farid Sharifi, Saeed Alimohammadi [496-303]

Continuous Decision Making in Optimal Reservoir Operation Using DP-ANN
By Farid Sharifi, Omid Bozorg Haddad, Mahsoo Naderi, Saeed Alimohammadi [496-304]

GA in Optimal Design of Setback Layout
By M. Shafiei, O. Bozorg Haddad [496-305]

Best GA Operators Probabilities in Optimizing Levee Setback
By M. Shafiei, O. Bozorg Haddad [496-306]

Simulation-Optimization Model For Fuzzy Waste Load Allocation
By M. Saadat Pour, A. Afshar, O. Bozorg Haddad [496-308]

GA in Optimizing Ajichai Flood Levee's Encroachment
By M. Shafiei, O. Bozorg Haddad [496-309]

Optimization of Levee's Setback; A New GA Approach
By Farshid Malekhosseini [496-310]

Performance Prediction of a Parallel Monte Carlo Application: A Neural Network Approach
By Sirma Yavuz [496-265]