One of the core features of Intelligent Edge Computing (IEC) is real-time decision making,
therefore low delay is more important for IC design under IEC architecture. And in very large …

The travelling thief problem (TTP) is a multi-component combinatorial optimization problem
that has gained significant attention in the evolutionary computation and heuristic search …

Many real-world optimization problems have multiple interacting components. Each of these
can be an NP-hard problem, and they can be in conflict with each other, ie, the optimal …

In real-world optimisation, it is common to face several sub-problems interacting and forming
the main problem. There is an inter-dependency between the sub-problems, making it …

Real-world problems often comprise multiple interdependent sub-problems. The
interdependency between sub-problems makes the original problem complex. The …

There has been a growing interest in the evolutionary computation community to compute a
diverse set of high-quality solutions for a given optimisation problem. This can provide the …

This study deals with the task assignment problem in a heterogeneous unmanned aerial
vehicle system under the multiple constraints of limited resources, effective task execution …

A travelling thief problem (TTP) is a proxy to real-life problems such as postal collection. TTP
comprises an entanglement of a travelling salesman problem (TSP) and a knapsack …

In this paper, we propose a Multi-objective Five-element Cycle Optimization algorithm based
on Multi-strategy fusion (MOFECO-MS) to address the Bi-objective Traveling Thief Problem …

A plethora of combinatorial optimization problems can be linked to real-life decision
scenarios. Even nowadays, more diverse and complex problems are popping up. One of …