Most real-world problems involve some type of optimization problems that are often
constrained. Numerous researchers have investigated several techniques to deal with …

In their original versions, nature-inspired search algorithms such as evolutionary algorithms
and those based on swarm intelligence, lack a mechanism to deal with the constraints of a …

The artificial bee colony algorithm is a relatively new optimization technique. This paper
presents an improved artificial bee colony (IABC) algorithm for global optimization. Inspired …

An innovative simulated evolutionary algorithm (EA), called I-Ching divination EA (IDEA),
and its convergence analysis are proposed and investigated in this paper. Inherited from …

Based on our previous works, multiagent systems and evolutionary algorithms (EAs) are
integrated to form a new algorithm for combinatorial optimization problems (CmOPs) …

Most multi-objective evolutionary algorithms (MOEAs) provide decision makers (DMs) with
an overall trade-off Pareto front. However, in practice, DMs are generally interested in a …

Evolutionary computation (EC) has received significant attention in China during the last two
decades. In this paper, we present an overview of the current state of this rapidly growing …

Solving constrained optimization problems (COPs) has been gathering attention from many
researchers. In this paper, we defined the best fitness value among feasible solutions in …

Taking inspiration from an organizational evolutionary algorithm for numerical optimization,
this paper designs a kind of dynamic population and combining evolutionary operators to …

A new nonslicing floorplan representation, the moving block sequence (MBS), is proposed
in this paper. Our idea of the MBS originates from the observation that placing blocks on a …