In the digital age, retail store operations face a variety of novel challenges and complexities.
We review 255 papers on retail store operations from 32 operations research, management …

Robust optimization is an emerging area in research that allows addressing different
optimization problems and specifically industrial optimization problems where there is a …

Recently, a novel meta-heuristic algorithm known as the marine predators algorithm (MPA)
has been proposed for solving continuous optimization problems. Despite the significant …

The slime mould algorithm (SMA) has recently been introduced to solve continuous
engineering problems, which has been employed to solve a wide range of various problems …

With limited financial resources, decision-makers in firms and governments face the task of
selecting the best portfolio of projects to invest in. As the pool of project proposals increases …

The 0-1 knapsack problem is a typical NP-hard combinatorial optimization problem that is
difficult to solve efficiently based on traditional optimization approaches. Binary quantum …

The spread of COVID‐19 outbreak has promoted truck‐drone delivery from trials to
commercial applications in end‐to‐end contactless solutions. To fully integrate truck‐drone …

Integrating inventory with production–distribution operations has critical importance realized
by several companies' top management a long time before; however, challenging. The …

Honey Badger Algorithm (HBA) is one of the recently proposed optimization techniques
inspired by the foraging behavior of honey badger. Although it has been successfully …

Many optimization algorithms have been applied to solve high‐dimensional instances of the
0‐1 knapsack problem. However, these algorithms often fall into a local optimization trap …