A co-macroevolutionary algorithm,called co-fuzzy macroevolutionary algorithm based on uniform design, is proposed to solve constrained optimization problems.

Improved evolutionary algorithm for global optimization based on a smooth function;

Application of evolutionary algorithm in the optimal design of ship structure;

A new evolutionary algorithm for solving constrained optimization problems;

FMS scheduling simulation based on evolution algorithm;

Shortest idle time evolution algorithm for Job-shop scheduling;

Analysis for time complexity of evolutionary algorithms;

Comparison of convergence between evolutionary algorithms and deterministic algorithms for optimal control problem;

Novelε-dominance multi-objective evolutionary algorithms for solving DRS multi-objective optimization problems;

Module backcalculating of rigid pavement with artificial neural networks and genetic algorithm;

A hybrid optimum method, which combines the chaos seeking strategy and the genetic algorithm, is proposed and the problem of detecting cavity in panel is solved.

0 environment,the function optimization system based on genetic algorithm with VC++6.

Application of evolutionary computation in transmission line fault location;

The midsection of a double hull bulk carrier was optimized using the evolutionary computation,and the shear stress of a single-hull and double-hull structure was calculated respectively using the method of shear flow.

As a relatively new evolutionary computation, PSO algorithm applies the information communication within particles to update itself, instead of any genetic operator such as crossover and mutation.