A critical review of moth-flame optimization algorithm and its variants: structural reviewing, performance evaluation, and statistical analysis
A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …
observed with almost the same inherited weaknesses. The main reason is that a few studies …
An improved marine predator algorithm based on epsilon dominance and Pareto archive for multi-objective optimization
Solving multi-objective optimization problems plays an important role in several
applications. Recently, the Marine Predator Algorithm (MPA) was introduced for solving …
applications. Recently, the Marine Predator Algorithm (MPA) was introduced for solving …
Guided manta ray foraging optimization using epsilon dominance for multi-objective optimization in engineering design
D Zouache, FB Abdelaziz - Expert Systems with Applications, 2022 - Elsevier
In recent decades, metaheuristics have proven their effectiveness in solving large-scale real-
world problems with multiple objectives. However, we still need to design robust algorithms …
world problems with multiple objectives. However, we still need to design robust algorithms …
Bi-level energy management model for the smart grid considering customer behavior in the wireless sensor network platform
Today, smart grids (SG) and its relationship to wireless sensor network (WSN) provides a
suitable platform for establishing the two-way communication of the energy management …
suitable platform for establishing the two-way communication of the energy management …
An external archive guided Harris Hawks optimization using strengthened dominance relation for multi-objective optimization problems
Abstract In this paper, Multi-Objective Harris Hawks Optimization (MOHHO) is proposed
based on strengthened dominance relation (SRD) to solve multi-objective optimization …
based on strengthened dominance relation (SRD) to solve multi-objective optimization …
A novel epsilon-dominance Harris Hawks optimizer for multi-objective optimization in engineering design problems
In this article, A Multi-Leaders Guided Harris Hawks optimizer using Epsilon-Dominance
relation is developed for solving multi-objective optimization problems. For this reason, the …
relation is developed for solving multi-objective optimization problems. For this reason, the …
Store-Wide space planning balancing impulse and convenience
We develop a store-wide shelf space planning framework that assigns product categories to
shelves with the objective of balancing impulse buying and shopping convenience. Our …
shelves with the objective of balancing impulse buying and shopping convenience. Our …
Emulous mechanism based multi-objective moth–flame optimization algorithm
In recent years, there has been growing interest in using metaheuristic algorithms to solve
various complex engineering optimization problems. Most of the real-world problems …
various complex engineering optimization problems. Most of the real-world problems …
Energy savings and coverage optimization in edge WiFi sensor deployment for buildings: A multi-objective evolutionary approach
Edge sensor nodes are used to ensure informed decisions in several fields, including smart
buildings, supply chain management, sustainability, mobile robotics in industry and logistics …
buildings, supply chain management, sustainability, mobile robotics in industry and logistics …
A guided epsilon-dominance arithmetic optimization algorithm for effective multi-objective optimization in engineering design problems
Abstract The Arithmetic Optimization Algorithm (AOA) was recently proposed as a solution
for single-objective real continuous problems and has demonstrated superior performance …
for single-objective real continuous problems and has demonstrated superior performance …