OPTI 2014 - International Conference on Engineering and Applied Sciences Optimization (OPTI 2014)

The proposed OPTI special interest conference will facilitate the exchange of ideas in topics of mutual interests and can serve as a platform for establishing links between research groups with complementary activities. Thus, the communities of Mathematical Programming and Nature-Inspired Search Algorithms will become more familiar with important application areas with great social impact, arising from real-world problems. These areas range from practical applications in structural, aero-space, mechanical, civil, chemical, naval and bio-engineering to applied problems in economics, physics and biology. Moreover, communities of Applied Sciences and Engineering will benefit from this interaction, since they will be exposed to advanced computational methods and software tools which can highly assist in tackling combinatorial optimization problems.
Sessions related to specific topics of the Conference will be introduced by Keynote Lectures which will be complemented by invited Minisymposia, organized by recognized experts in research areas of current interest, as well as by contributed papers.
Conference Topics
Shape and topology optimization: topological derivatives, level set methods, isogeometry-based shape optimization, topometry and topography optimization, sensitivity analysis, etc.
Linear, nonlinear, stochastic, parametric, discrete and dynamic programming ? modeling
Optimization software
Evolutionary algorithms, swarm optimization, scatter search, etc.
Parallel and distributed computing in optimization ? Cloud computing, GPGPU computing environment
Theory of metaheuristics, landscape analysis, convergence, large neighborhoods, etc.
OR in health, life sciences, industry and natural resources
Multiple criteria decision making and optimization
Local search, tabu search, simulated annealing, VNS, ILS, etc.
Scheduling, time tabling & project management
Hybrid methods with metaheuristics, machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, etc.
Location, logistics, transportation, traffic and telecommunication-networks
Energy (energy harvesting, storage, delivery, efficiency, etc.), environment and climate
Artificial intelligence, surrogates-metamodels, fuzzy systems
Structural optimization: composite materials, transient loads and crash, fatigue and fracture, etc.
Lifecycle design optimization and structural health monitoring
Multidisciplinary and multiphysics design optimization
Emergent nature inspired algorithms: quantum computing, artificial immune systems, DNA computing, etc.
Design under uncertainty: robust design optimization, reliability based design optimization, theoretical foundations and framework.
Optimization in emerging areas like micro- and nano-mechanics, multiscale, biomedical (including bionics and medical devices).