The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …

In recent years, the development of new algorithms for multiobjective optimization has
considerably grown. A large number of performance indicators has been introduced to …

Complexity and variety of modern multiobjective optimisation problems result in the
emergence of numerous search techniques, from traditional mathematical programming to …

With the rapid growth in the number of motor vehicles, traffic pollution has become an
increasingly serious problem, due to high carbon emission and low load utilization rate. It is …

The key aspect in coal production is realizing safe and efficient mining to maximize the
utilization of the resources. A requirement for sustainable economic development is realizing …

Traditional optimization solvers tend to start the search from scratch by assuming zero prior
knowledge about the task at hand. Generally speaking, the capabilities of solvers do not …

Many engineering problems require the optimization of expensive, black-box functions
involving multiple conflicting criteria, such that commonly used methods like multiobjective …

In recent decades, the field of multiobjective optimization has attracted considerable interest
among evolutionary computation researchers. One of the main features that makes …

Recently, more and more multi/many-objective algorithms have been proposed. However,
most evolutionary algorithms only focus on solving small-scale multi/many-objective …

Task scheduling is an important research direction in cloud computing. The current research
on task scheduling considers mainly the design of scheduling strategies and algorithms and …