The increase of environmental concerns, scarcity of fossil fuel resources, uncontrolled
growth of demand, along with the development of efficient multi-generation systems have …

Nowadays, a promising way to obtain hybrid metaheuristics concerns the combination of
several search algorithms with strong specialization in intensification and/or diversification …

In this paper, a multi-objective version of the recently proposed marine predator algorithm
(MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA) …

Mobile robots have been used in different applications such as assembly, transportation,
and manufacturing. Although, the great work to get the optimum robot's path, traditional path …

This paper proposes a multi-objective version of recently developed Spotted Hyena
Optimizer (SHO) called Multi-objective Spotted Hyena Optimizer (MOSHO). It is used to …

Reactive power dispatch in power systems is a complex combinatorial optimization problem
involving nonlinear functions having multiple local minima and nonlinear and discontinuous …

Presence of energy hubs in the future vision of energy networks creates a great opportunity
for system planners and operators to move towards more efficient systems. The role of …

In the evolutionary optimization field, there exist some algorithms taking advantage of the
known property of the benchmark functions, such as local optima lying along the coordinate …

Differential evolution (DE) is a fast and robust evolutionary algorithm for global optimization.
It has been widely used in many areas. Biogeography-based optimization (BBO) is a new …

Various types of social relationships, such as friends and foes, can be represented as
signed social networks (SNs) that contain both positive and negative links. Although many …