Nonlinear optimization in IRN
New computer methods for global optimization
New computer methods for global optimization
Journal of Optimization Theory and Applications
Nonlinear optimization: complexity issues
Nonlinear optimization: complexity issues
Recent advances in global optimization
Recent advances in global optimization
Terminal Repeller Unconstrained Subenergy Tunneling (TRUST) for fast global optimization
Journal of Optimization Theory and Applications
The annealing evolution algorithm as function optimizer
Parallel Computing
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
SIAM Journal on Optimization
Global Optimization by Multilevel Coordinate Search
Journal of Global Optimization
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A new deterministic method for solving a global optimization problem is proposed. The proposed method consists of three phases. The first phase is a typical local search to compute a local minimum. The second phase employs a discrete sup-local search to locate a so-called sup-local minimum taking the lowest objective value among the neighboring local minima. The third phase is an attractor-based global search to locate a new point of next descent with a lower objective value. The simulation results through well-known global optimization problems are shown to demonstrate the efficiency of the proposed method.