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Several arguments support the proposition that corporations can be viewed as cognitive entities. But accepting that corporations perform cognitive functions raises questions about how we might describe and assess those functions. In this paper I propose ...

Welcome to FaSE4Games'24, the Foundations of Applied Software Engineering for Games workshop. We are thrilled to host this inaugural event together with the ACM International Conference on the Foundations of Software Engineering (FSE'2024) dedicated to ...

From the serendipitous discovery of X-rays in a German laboratory, to the scientists trying to prove Einstein wrong about quantum mechanics (and inadvertently proving him right), to the race to split the atom: physicists have shaped innumerable aspects ...

The benchmark problem of lunar lander landing site selection is a nonlinear constrained optimization problem introduced as a challenge for the 2018 Evolutionary Computation Symposium competition. In the single-objective variant, the task is to find the ...

Evolutionary multiobjective optimization has witnessed remarkable progress during the past decades. However, existing algorithms often encounter computational challenges in large-scale scenarios, primarily attributed to the absence of hardware ...

Dynamic Vehicle Routing Problem (DVRP), is an extension of the classic Vehicle Routing Problem (VRP), which is a fundamental problem in logistics and transportation. Typically, DVRPs involve two stakeholders: service providers that deliver services to ...

Runtime analysis has recently been applied to popular evolutionary multi-objective (EMO) algorithms like NSGA-II in order to establish a rigorous theoretical foundation. However, most analyses showed that these algorithms have the same performance ...

Approximating the Pareto-set of the multi-objective minimum spanning tree problem (moMST) is a challenging task, which was tackled multiple times over the last decades, also by applying evolutionary approaches. A very recent work introduced two novel and ...

Modern supply chains are complex structures of interacting units exchanging goods and services. Business decisions made by individual units in the supply chain have knock-on effects on decisions made by successor units in the chain. Linked Optimisation ...

Feature interactions are particularly useful in modeling biological effects, such as gene-gene interactions, but are difficult to model due to the exponential increase in the feature space. We present GASIF, a Genetic Algorithm that selects features and ...

Survival analysis is a critical aspect of modeling time-to-event data in fields such as epidemiology, engineering, and econometrics. Traditional survival methods rely heavily on assumptions and are limited in their application to real-world datasets. To ...

This paper proposes a multi-criteria approach to optimize urban infrastructure for e-scooters mobility. The problem considers redesigning road infrastructure to integrate e-scooters into a city's multimodal transportation system. This research aims to ...

Electric vehicles (EVs) are establishing themselves as the mobility of the future. However, it requires an infrastructure, i.e., charging stations, still needs to adapt to the growing demand. This article presents a multi-objective approach to placing EV ...

In air traffic flow management (ATFM), temporarily reduced capacity in the European air traffic network leads to the Network Manager imposing a regulation, meaning that flights are assigned new arrival times on a first-planned, first-served basis. Some ...

The ability of Large Language Models (LLMs) to generate high-quality text and code has fuelled their rise in popularity. In this paper, we aim to demonstrate the potential of LLMs within the realm of optimization algorithms by integrating them into ...

Search Trajectory Networks (STNs) serve as a tool for visualizing algorithm behavior within the realm of optimization problems. Despite their user-friendly nature, challenges arise in obtaining interpretable plots, for example, in the case of ...

We address a car patrolling application arising in a service company that needs to visit customers in a large area periodically. Customers are divided into clusters, each of which is assigned to a single patrol and requires different services, either ...

Local search has gained its popularity in addressing multi-objective combinatorial optimisation problems (MOCOPs) within the communities of evolutionary computation and operational research. The ease of defining the neighbourhood in discrete spaces of ...

To improve the convergence ability of evolutionary multi-objective optimization algorithms (EMOAs), various strategies have been proposed. One effective strategy is to use good momentum from the previous generations to create new solutions. However, the ...

Real-world optimization problems often involve stochastic and dynamic components. Evolutionary algorithms are particularly effective in these scenarios, as they can easily adapt to uncertain and changing environments but often uncertainty and dynamic ...