Numerous problems encountered in real life cannot be actually formulated as a single
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …

This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA)
and Multi-objective Salp Swarm Algorithm (MSSA) for solving optimization problems with …

Human intelligence is the intellectual prowess of humans, which is marked by four basic and
important abilities: learning ability, cognition (acquiring and storing knowledge) ability …

Optimization is a mathematical technique that concerns the finding of maxima or minima of
functions in some feasible region. There is no business or industry which is not involved in …

Online-to-offline (O2O) commerce connecting service providers and individuals to address
daily human needs is quickly expanding. In particular, on-demand food, whereby food …

This research is motivated by the practical requirements in the sustainable deployment of
ocean moored buoy observing networks. Ocean moored buoys play an important role in the …

Dynamic weapon target assignment (DWTA) is an effective method to solve the multi-stage
battlefield fire optimization problem, which can reflect the actual combat scenario better than …

Obtaining S-wave velocity profiles by inverting Rayleigh wave dispersion curves is crucial
for the Rayleigh wave exploration method. Rayleigh wave inversion is a highly nonlinear …

This paper presents a new hybrid optimizer in which an innovative optimal particles local
search strategy on basis of bound optimization by quadratic approximation (BOBYQA) …

Multi-objective particle swarm optimization algorithms (MOPS) are used successfully to
solve real-life optimization problems. The multi-objective algorithms based on particle …