this paper introduces a technique for controlling a class of uncertain chaotic systems using an adaptive fuzzy proportional-integrator-derivative (pid) controller with h∞ tracking performance. the purpose of this work is to achieve optimal tracking performance of the controller using backtracking search algorithm (bsa). bsa, which is a novel heuristic algorithm, has an easy structure with singl...

Feature selection carries significance in the outcome of any classification or regression task. Exercising evolutionary computation algorithms feature has led to construction efficient discrete optimization algorithms. In this paper, a modified backtracking search algorithm is employed perform wrapper-based selection, where two modifications standard are adopted. The first one concentrates on u...

This paper proposes a general framework for implementing backtracking search strategies in Propositional Satisfiability (SAT) algorithms, that is referred to unrestricted backtracking. Different organizations of unrestricted backtracking yield well-known backtracking search strategies. Moreover, this general framework allows devising new backtracking strategies. Hence, we illustrate and compare...

In this paper, an efficient recursive construction algorithm based on the backtracking search algorithm is presented for the construction of accurate implication sets. The new techniques suggested improve the time and space complexities of the backtracking search algorithm dramatically.

Backtracking search algorithm is a novel population-based stochastic technique. This paper proposes an improved backtracking search algorithm for constrained optimization problems. The proposed algorithm is combined with differential evolution algorithm and the breeder genetic algorithm mutation operator. The differential evolution algorithm is used to accelerate convergence at later iteration ...