In order to optimize the recovery scheduling of flight delays,airline impact factors were defined,the economic benefit,social impact and loss constitution of flight delays were considered,a new recovery scheduling model of flight delays was created,a hybrid particle swarm optimization arithmetic(HPSOA)was put forward,and local search method was introduced into the arithmetic.

Local Search Algorithms and Performance Guarantees for Minimizing Supermodular Function Subject to a Cardidity Constraint;

And based on the essential principle of local search algorithm and reading rule of array,an improved nested search algorithm was compiled.

A local search algorithm and a simulated annealing algorithm are applied to solve this model.

This paper presents a local search method based on a filled function transformation method.

New local search algorithm for k-median problem;

Improved ant colony algorithm based on dynamic control of solution construction and mergence of local search;

Classification Rules Discovery Based on Local Search and the Application in Intrusion Detection;

Based on the character of allele,the new conception of dual operator with threshold is proposed to overcome the defect of genetic algorithm in local searching.

The composite dispatching rule is combined with local searching to solve the model.

To improve full searching ability, local searching ability, convergence rate and calculating precision of elementary particle swarm, based on classical PSO algorithm and quanta theory, an improved PSO algorithm with quantum behavior--cQPSO algorithm is proposed.