The concept of channel, a computational mechanism used to convey state to different
threads of process execution, is at the core of the design of multi-threaded concurrent …

Metaheuristics are an effective and diverse class of optimization algorithms: a means of
obtaining solutions of acceptable quality for otherwise intractable problems. The selection …

Test-based problems are search and optimization problems in which candidate solutions
interact with multiple tests (examples, fitness cases, environments) in order to be evaluated …

Applying local search algorithms to combinatorial optimization problems is not an easy feat.
Typically, human intervention is required to compile the constraints to input data for some …

The canonical brain storm optimization (BSO) employs clustering, creating and selecting
operators, which are all connected and have great impacts on the optimization performance …

Very low Earth orbit (VLEO) satellite flight, at less than around 450 km altitude, is becoming
increasingly popular. It affords numerous benefits such as increased payload resolution and …

abstract Bio-inspired optimization (including Evolutionary Computation and Swarm
Intelligence) is a growing research topic with many competitive bio-inspired algorithms …

For four and a half years I had an amazing time exploring and experiencing the world of
academia. To me, it was a place of wonder, and a humbling one at that... Wherever I went …

Metaheuristics have gained prominence in solving complex optimization problems across
various domains. However, designing and implementing metaheuristics can be challenging …

These days, many scientific and engineering disciplines rely on standardization and
automated tools. Somewhat ironically, the design of the algorithms underlying these tools is …