The electrochemical model parameters of a lithium-ion battery are important indicators of its
state-of-health, and many previous studies have proposed methods for identifying them …

This paper proposes a novel multi-objective model for an unrelated parallel machine
scheduling problem considering inherent uncertainty in processing times and due dates …

As the research interest in distributed scheduling is growing, distributed permutation
flowshop scheduling problems (DPFSPs) have recently attracted an increasing attention …

The applications of genetic algorithms (GAs) in solving combinatorial problems are
frequently faced with a problem of early convergence and the evolutionary processes are …

Electromagnetism-like algorithm (EM) is a population-based meta-heuristic which has been
proposed to solve continuous problems effectively. In this paper, we present a new meta …

In this paper we develop a Self-guided Genetic Algorithm (Self-guided GA), which belongs
to the category of Estimation of Distribution Algorithms (EDAs). Most EDAs explicitly use the …

This paper deals with an unrelated parallel machine scheduling problem with the objective
of minimizing the makespan. There are machine-dependent and job sequence-dependent …

In order to improve the adaptability of mobile robot path planning algorithm, a solution for
robotic path planning method using improved genetic algorithm is proposed. In this method …

Recently, a wealthy of research works has been dedicated to the design of effective and
efficient genetic algorithms in dealing with multi-objective scheduling problems. In this …

In our previous researches, we proposed the artificial chromosomes with genetic algorithm
(ACGA) which combines the concept of the Estimation of Distribution Algorithms (EDAs) with …