Hybrid Metaheuristics for Multi-Objective Optimization [PDF]
Journal of Algorithms & Computational Technology, 2015 Over the last two decades, interest on hybrid metaheuristics has risen considerably in the field of multi-objective optimization (MOP). The best results found for many real-life or academic multi-objective optimization problems are obtained by hybrid ...
E-G. Talbi
doaj +2 more sources
MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems [PDF]
, 2021 This paper proposes a new multi-objective algorithm, called Multi-Objective Marine-Predator Algorithm (MOMPA), dependent on elitist non-dominated sorting and crowding distance mechanism.
Jangir, Pradeep +3 more
core +1 more source
Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems. [PDF]
, 2006 We propose a sequential interactive genetic algorithm (IGA), multi-objective IGA and parallel IGA, and evaluate them with both simulated and real users.
Ramsden, Jeremy +10 more
core +1 more source
Multi-Objective Optimization using Artificial Intelligence Techniques [PDF]
, 2020 This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different ...
Dong, Jin Song, Mirjalili, Seyedali
core +1 more source
Hybrid behavioural-based multi-objective space trajectory optimization [PDF]
, 2009 In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, M., Vasile, Massimiliano
core +1 more source
Multi-agent collaborative search : an agent-based memetic multi-objective optimization algorithm applied to space trajectory design [PDF]
, 2011 This article presents an algorithm for multi-objective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighbourhood of each agent.
Vasile, M. +3 more
core +1 more source
Multi-objective chaos game optimization [PDF]
, 2023 The Chaos Game Optimization (CGO) has only recently gained popularity, but its effective searching capabilities have a lot of potential for addressing single-objective optimization issues.
Seyedali Mirjalili +7 more
core +1 more source
Friction stir welding parameter optimization using novel multi objective dragonfly algorithm
International Journal of Lightweight Materials and Manufacture, 2021 Friction stir welding (FSW) is a type of welding in which the joint is made in the solid phase using the heat generated through friction. FSW is used to produce welds with superior strength with low distortion. At present, the FSW technique is enormously
P. Pitchipoo +3 more
doaj +1 more source
Innovative multi objective optimization based automatic fake news detection [PDF]
PeerJ Computer ScienceWith the digital revolution, access to information is expanding day by day and individuals can access information quickly through the internet and social media platforms.
Cebrail Barut +3 more
doaj +2 more sources
IEEE Access, 2019 This paper presents a tri-level many-objective optimization (TLMaO) approach to provide a final solution for many-objective optimization problems (MaOPs).
J. H. Zheng +3 more
doaj +1 more source