Intrinsic methods for optimization problems
نویسنده
چکیده
Thesis: when a specific problem of optimization is " canonical " , i.e. works with " just the right concepts " and reflects " just the right questions " , then intrinsic tools are the way forward to insight.
منابع مشابه
Intrinsic methods for optimization problems
General optimization techniques typically depend on analytical tools involving differentiation. However, for many problems, special intrinsic tools lead in a more natural way to insight. For information theory, instances of this phenomenon includes problems on the determination of capacity, the search for universal codes or maximum entropy distributions and the calculation of information projec...
متن کاملOPTIMAL DESIGN OF TRUSS BRIDGES USING TEACHING-LEARNING-BASED OPTIMIZATION ALGORITHM
In this study, teaching-learning-based optimization (TLBO) algorithm is employed for the first time for optimization of real world truss bridges. The objective function considered is the weight of the structure subjected to design constraints including internal stress within bar elements and serviceability (deflection). Two examples demonstrate the effectiveness of TLBO algorithm in optimizatio...
متن کاملA Robust Optimization Approach for a p-Hub Covering Problem with Production Facilities, Time Horizons and Transporter
Hub location-allocation problems are currently a subject of keen interest in the research community. However, when this issue is considered in practice, significant difficulties such as traffic, commodity transportation and telecommunication tend to be overlooked. In this paper, a novel robust mathematical model for a p-hub covering problem, which tackles the intrinsic uncertainty of some param...
متن کاملAn efficient improvement of the Newton method for solving nonconvex optimization problems
Newton method is one of the most famous numerical methods among the line search methods to minimize functions. It is well known that the search direction and step length play important roles in this class of methods to solve optimization problems. In this investigation, a new modification of the Newton method to solve unconstrained optimization problems is presented. The significant ...
متن کاملComparative Study of Particle Swarm Optimization and Genetic Algorithm Applied for Noisy Non-Linear Optimization Problems
Optimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) seem very efficient to approach in these problems and became very popular. The efficiency of these ...
متن کامل