In this paper, we propose a new population-based framework for combining local search with global explorations to solve single-objective unconstraint numerical optimization problems. The idea is to use knowledge about local optima found during the search to a) locate promising regions in the search space and b) identify the suitable step size to move from one optimum to others in each region. T...

Genetic Algorithms have been seen as search procedures that can quickly locate high performance regions of vast and complex search spaces, but they are not well suited for fine-tuning solutions, which are very close to optimal ones. However, genetic algorithms may be specifically designed to provide an effective local search as well. In fact, several genetic algorithm models have recently been ...

MAXSAT solutions, i.e., near-satisfying assignments for propositional formulas, are sometimes meaningless for real-world problems because such formulas include “mandatory clauses” that must be all satisfied for the solution to be reasonable. In this paper, we introduce Partial MAXSAT and investigate how to solve it using local search algorithms. An instance of Partial MAXSAT consists of two for...

the purpose of load frequency control is to reduce transient oscillation frequencies than its nominal valueand achieve zero steady-state error for it.a common technique used in real applications is to use theproportional integral controller (pi). but this controller has a longer settling time and a lot of extramutation in output response of system so it required that the parameters be adjusted ...