Abstract: This paper explores a novel model for sorted-waste transportation, defined as the two-echelon collaborative location routing problem with intuitionistic fuzzy multi-demands. It considers a ...
This repository contains code used in the paper, "Solving 0–1 Knapsack Problems Using Sine-Cosine Algorithm". The Sine Cosine Algorithm (SCA), developed by Seyedali Mirjalili [1], belongs to the class ...
Artificial intelligence has progressed significantly, beginning with Large Language Models (LLMs) that transformed text generation and comprehension. LLM chatbots built on this technology to automate ...
Abstract: The energy demand of residential end users has been so far largely uncontrollable and inelastic with respect to the power grid conditions. In this paper, we describe a scheme to solve ...
Florida's fight against Burmese pythons in the Everglades may have passed the point of a realistic endgame, according to wildlife biologist and TV host Forrest Galante. In a recent video, Galante said ...
FORTUNATELY, NOBODY WAS INJURED. CONTROLLING THE PYTHON POPULATION HERE IN FLORIDA, GOVERNOR DESANTIS SPOKE IN STUART TODAY ABOUT SOME NEW ACTIONS THE STATE PLANS TO TAKE TO CONTROL THE GROWTH OF ...
Combinatorial optimisation for knapsack problems addresses the challenge of selecting discrete items to maximise value under capacity constraints. Such problems are central to resource allocation, ...
Fuzzy optimisation techniques have emerged as a powerful framework for addressing multi-objective programming problems under uncertainty. In classical multi-objective programming, decision-makers seek ...
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