Grey wolf optimizer algorithm was recently presented as a new heuristic search algorithm
with satisfactory results in real-valued and binary encoded optimization problems that are …

In this contribution, a novel bionic algorithm inspired by plant root foraging behaviors,
namely artificial root foraging optimization (ARFO) algorithm, is designed and developed …

Developing an effective memetic algorithm that integrates the Particle Swarm Optimization
(PSO) algorithm and a local search method is a difficult task. The challenging issues include …

Background Short-term load forecasting is an important issue that has been widely explored
and examined with respect to the operation of power systems and commercial transactions …

In industries, precise measurement of different form errors is critical and challenging for
stringent geometric and dimensional control in manufactured part. These form errors have …

In this paper, a modified particle swarm optimization (PSO) algorithm is developed for
solving multimodal function optimization problems. The difference between the proposed …

To detect communities in signed networks consisting of both positive and negative links, two
new evolutionary algorithms (EAs) and two new memetic algorithms (MAs) are proposed …

Calculating the minimum slope safety factor or locating the critical slip surface of a soil slope
is a complex optimization problem. This paper describes an improved whale optimization …

Water wave optimization (WWO) is a novel metaheuristic method that is based on shallow
water wave theory, which has simple structure, easy realization, and good performance …

In expert systems, complex optimization problems are always characterized by nonlinearity,
nonconvexity, multi-modality, discontinuity, and high dimensionality. Although classical …