Efficient First‐Principles Inverse Design of Nanolasers
This article introduces a first‐principles inverse‐design framework for nanolasers that directly incorporates nonlinear lasing physics. By unifying steady‐state ab‐initio laser theory (SALT) with topology optimization, it reveals how spatial hole burning, gain saturation, and cavity‐emitter coupling shape laser performance, enabling efficient discovery
Beñat Martinez de Aguirre Jokisch +5 more
wiley +1 more source
Application of Heuristic Combinations within a Hyper-Heuristic Framework for Exam Timetabling
Examination Timetabling Problem is one of the optimization and combinatorial problems. It is proved to be a non-deterministic polynomial (NP)-hard problem.
Gabriella Icasia +2 more
doaj +1 more source
ABSTRACT Surprise marketing, characterized by unexpected tactics such as blind boxes and spontaneous discounts, captivates consumers by sparking curiosity and participation. Despite increasing industry use, scholarly research remains fragmented and limited.
Xin‐Jean Lim +2 more
wiley +1 more source
Markov Chain Selection Hyper-heuristic for the Optimisation of Constrained Magic Squares [PDF]
UKCI 2015: UK Workshop on Computational Intelligence, University of Exeter, UK, 7-9 September 2015A square matrix of size n × n, containing each of the numbers (1, . . .
Keedwell, EC, Kheiri, A
core
An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget [PDF]
Determining the best initial parameter values for an algorithm, called parameter tuning, is crucial to obtaining better algorithm performance; however, it is often a time-consuming task and needs to be performed under a restricted computational budget ...
A Kheiri +12 more
core +1 more source
Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley +1 more source
A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem [PDF]
Hyper-heuristics are high-level methodologies for solving complex problems that operate on a search space of heuristics. In a selection hyper-heuristic framework, a heuristic is chosen from an existing set of low-level heuristics and applied to the ...
Battiti R. +25 more
core +9 more sources
Fuzzy adaptive parameter control of a late acceptance hyper-heuristic [PDF]
A traditional iterative selection hyper-heuristic which manages a set of low level heuristics relies on two core components, a method for selecting a heuristic to apply at a given point, and a method to decide whether or not to accept the result of the ...
Jackson, Warren G. +2 more
core +2 more sources
Interplanetary frontiers: terraforming from an invasion science perspective
The pursuit of a multi‐planetary existence represents one of humanity's greatest frontiers. If applied justly, it offers an opportunity to extend its civilization's lifespan amid escalating sustainability crises on Earth. One approach increasingly gaining traction is terraforming, a hitherto theoretical ecological and evolutionary experiment revolving ...
Teun Everts +2 more
wiley +1 more source
The power of expressed humility: Early stage investors' reaction to humble entrepreneurs
Abstract Research Summary We examine how entrepreneur‐expressed humility affects early stage investors' willingness to fund new ventures. In pitching contexts where investors rely on relational cues and implicit prototypes of entrepreneurs, we theorize three distinct pathways through which expressed humility shapes funding decisions. First, building on
Laurent Vilanova, Ivana Vitanova
wiley +1 more source

