Particle swarm optimization (PSO) has been widely applied in solving optimization problems
because of its simple execution with fast convergence and high solution quality as known …

In this paper we address single objective real parameter optimization by using differential
evolution (DE). L-SHADE is a well-known DE with success history-based adaptation and …

Personalized learning path considers matching symmetrical attributes from both learner and
learning material. The evolutionary algorithm approach usually forms the learning path …

Differential evolution (DE) algorithms have been used widely to solve optimization problems
and practical cases and have demonstrated high efficiency, performing favorably using only …

Differential evolution (DE), a global optimization algorithm, is the latest addition to the
repository of evolutionary algorithm (EA). In spite of its potential in solving wide range of …

The location and capacity of express distribution centers and delivery point allocation are
mixed‐integer programming problems modeled as capacitated location and allocation …

There are two main approaches to motion control on parallel platforms: joint space control
and workspace control. Joint space control is an easy-to-implement semi-closed-loop …

This paper presents two approaches for solving the Technician Routing and Scheduling
Problem (TRSP). The first approach is an integer programming method, and the second is a …