Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …

The dynamic uncertain environment and complex tasks determine that the unmanned aerial
vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In …

This paper proposes a new metaheuristic optimization algorithm based on ancient war
strategy. The proposed War Strategy Optimization (WSO) is based on the strategic …

Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …

The slime mould algorithm (SMA) is a logical swarm-based stochastic optimizer that is easy
to understand and has a strong optimization capability. However, the SMA is not suitable for …

This paper presents a new algorithm named spherical vector-based particle swarm
optimization (SPSO) to deal with the problem of path planning for unmanned aerial vehicles …

A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to
its significance in real-life applications. This work proposes an improved artificial bee colony …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

Developing countries have had numerous obstacles in diagnosing the COVID-19 worldwide
pandemic since its emergence. One of the most important ways to control the spread of this …

Real-world problems are complex as they are multidimensional and multimodal in nature
that encourages computer scientists to develop better and efficient problem-solving …