[PDF][PDF] A hybrid genetic algorithm with tabu search for optimization of the traveling thief problem

ST Alharbi - International Journal of Advanced Computer Science …, 2018 - researchgate.net
Until now, several approaches such as evolutionary computing and heuristic methods have
been presented to optimize the traveling thief problem (TTP). However, most of these …

Solving multi-objectives function problem using branch and bound and local search methods

MH Ibrahim, FH Ali, HA Chachan - International Journal of …, 2022 - ijnaa.semnan.ac.ir
In this paper we consider $1//\sum^ n_ {j= 1}{(E_j+ T_j+ C_j+ U_j+ V_j)} $ problem, the
discussed problem is called a Multi objectives Function (MOF) problem, As objective is to …

Using branch and bound and local search methods to solve multi-objective machine scheduling problem

DA Abbass - 2019 First International Conference of Computer …, 2019 - ieeexplore.ieee.org
In this research, we suggested the problem scheduling of n jobs on a single machine to
decrease schedule multi-objective function; the sum cost of total completion time, the total …

A Hybrid Approach for Efficiently Solving Multi-Criteria Scheduling Problems on a Single Machine

NM Neamah, BA Kalaf - Iraqi Journal of Science, 2024 - ijs.uobaghdad.edu.iq
The presented study investigates the scheduling regarding jobs on a single machine. Each
job is processed with no interruptions and becomes available for processing at time 0. The …

Optimal design of transmission system expansion planning in deregulated environment

T Haripriya, B Devulal… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Expansion of transmission system and its planning play an important role in power system
operation and planning. An optimal configuration of network with the increase in load …

Solving Tri-criteria: Total Completion Time, Total Earliness, and Maximum Tardiness Using Exact and Heuristic Methods on Single-Machine Scheduling Problems

NM Neamah, BA Kalaf… - Mathematical …, 2023 - researchportal.murdoch.edu.au
Abstract Machine scheduling problems have become increasingly complex and dynamic. In
industrial contexts, managers often evaluate several objectives simultaneously and attempt …

[PDF][PDF] Genetic Algorithm and Particle Swarm Optimization Techniques for Solving Multi-Objectives on Single Machine Scheduling Problem

AS Hameed, HA Chachan - Ibn AL-Haitham Journal For Pure and Applied …, 2020 - iasj.net
In this paper, two of the local search algorithms are used (genetic algorithm and particle
swarm optimization), in scheduling number of products (n jobs) on a single machine to …