We use IOSO software in the all optimization projects – this is very effective technology!
 
«IRION» company is official distributor of IOSO software – we sell it and provide technical support (contact).
 
IOSO is a new generation multidimensional nonlinear optimization technology. It is a powerful instrument for finding new technical solutions that provide maximum possible efficiency for complex systems.
 
This Software was designed for finding a breakthrough approach solving «difficult tasks» of optimization in different branches of human knowledge. There is no similar software which can solve tasks with 100 variables (parameters) and 20 criteria (goals).
 
There are references to IOSO software:
 
George S. Dulikravich, Florida International University
AFOSR - Air Force Office of Scientific Research, USA
 
Report documentation page
Grant Title “Hybrid Robust Multi-Objective Evolutionary Optimization Algorithm", page 2:
 
"... Currently, a Russian commercially available software named IOSO is the most efficient and the most robust multi-objective optimization software… IOSO, which involves concepts of neural networks, radial basis functions, and self-adapting response surface methodologies, requires the minimum number of the objective function evaluations and that is the most versatile and robust multi-objective optimizer..."  Details…
 
Timothy W. Simpson, The Pennsylvania State University, USA,
Vasilli Toropov, University of Leeds, UK
Vladimir Balabanov, The Boeing Company, Seattle, USA
Felipe A. C. Viana, University of Florida, Gainesville, USA
 
F.A.C. (2008) Design and Analysis of Computer Experiments in Multidisciplinary Design Optimization: A Review of How Far We Have Come - or Not, 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Victoria, British Columbia, Canada, AIAA, AIAA-2008-5802, page 13:
 
"... IOSO offers unique state of the art optimization algorithms that are based on self-organizational strategy and efficiently combine traditional response surface methodology with gradient-based optimization and evolutionary algorithms in a single run. The offered algorithms are equally efficient for the problems of complex and simple topology that may include mixed types of variables..."  Details...
 
Carlos A. Coello Coello and Ricardo Landa Becerra
Evolutionary Computation Group, (Departamento de Computaciуn), Mexico
 
Evolutionary Multiobjective Optimization in Materials Science and Engineering, Materials and Manufacturing Processes, Volume 24, Issue 2 February 2009, pages 119 - 129:
 
"... IOSO consists of two stages. In the first stage, an approximate model of the objective functions is created. In the second stage, this approximate model is optimized. IOSO incorporates evolutionary algorithms, and artificial neural networks with radial basis functions that are used to build the response surfaces. The idea is to use this metamodel (or approximate model) to perform a very reduced number of evaluations of the actual objective functions of the problem..."  Details...
 
Are you  interested in IOSO software or optimization project? – get in touch with us!