Squirrel Search Algorithm for Portfolio Optimization by Dhaini, Mahdi

“…In this paper, we design and adapt a Squirrel Search Algorithm (SSA) for the unconstrained and constrained portfolio optimization problems. …”
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Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems by Abu Zitar, Raed

“…The Lévy flight concept is used for better exploration capability in the proposed algorithm, whereas the Nelder-Mead simplex search algorithm is integrated for further exploitation. …”
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The buffered work-pool approach for search-tree based optimization algorithms by Abu-Khzam, Faisal N.

“…Different algorithms adopt different branching and pruning techniques in order to reduce the unavoidable exponential growth in run time. …”
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) by Kozhaya, David Elias

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Cuckoo search for portfolio optimization. (c2014) by Medawar, Mohammad Kamal El

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Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms by Joao Palotti (8479842)

Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms by Zhongqiang Ma (13765801)

“…For fair comparisons, a parameter tuning tool named irace is used to automatically configure the parameters of all 15 algorithms. In addition, whether these algorithms have a search bias to the origin (i.e., the center of the search space) is investigated. …”

A fast exact sequential algorithm for the partial digest problem by Mostafa M. Abbas (17058093)

“…The algorithm is able to find all possible solutions for the input and works by traversing the solution tree with a breadth-first search in two stages and deleting all repeated subproblems. …”

Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms by Tekli, Joe

“…Various weighting functions and intelligent search algorithms have been developed for that purpose and will be presented here. …”
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Evolution Of Activation Functions for Neural Architecture Search by Nader, Andrew

“…In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …”
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Using artificial bee colony to optimize software quality estimation models. (c2015) by Abou Assi, Tatiana Antoine

“…We compare our models to others constructed using other well established techniques such as C4.5, Genetic Algorithms, Simulated Annealing, Tabu Search, multi-layer perceptron with back-propagation, multi-layer perceptron hybridized with ABC and the majority classifier. …”
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HPTS: heterogeneous parallel tabu search for VLSI placement by Al-Yamani, A.

“…In this work, a parallel tabu search algorithm for heterogeneous workstations is presented using PVM. …”
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ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation by Said Mahfoud (17150968)

“…For that reason, this work is focused on the theoretical studies and experimental validation on dSPACE Board DS1104 of the new proposed approach based on PID speed regulation, optimized by the Ant Colony Optimization algorithm (ACO) for DTC, applied to both sides of the Doubly Fed Induction Motor (DFIM), to overcome the previous drawbacks cited at the beginning. …”

Arithmetic optimization algorithm: a review and analysis by Abualigah, Laith

“…As a result, it can perform diverse optimization tasks in different search spaces. This article reviews the behaviors of mathematics operations that inspire the main features of AOA, which is a metaheuristic algorithm. …”
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Fixed set search applied to the multi-objective minimum weighted vertex cover problem by Raka Jovanovic (17947838)

“…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. In the second stage, the bi-objective GRASP is extended to the FSS by adding a learning mechanism adapted to multi-objective problems. …”

Review and analysis for the Red Deer Algorithm by Zitar, Raed

“…The RD algorithm combines the survival of the fittest principle from the evolutionary algorithms and the productivity and richness of heuristic search techniques. …”
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Social spider optimization algorithm: survey and new applications by Abualigah, Laith

“…Each spider has a weight based on the value of fitness. This algorithm consists of two search spiders called agents: males and females. …”
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Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem by Abido, M. A.

“…In addition, the results demonstrate the superiority of the SPEA as a promising multiobjective evolutionary algorithm to solve different power system multiobjective optimization problems.…”
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Multiobjective evolutionary algorithms for electric power dispatch problem by Abido, M.A.

“…In addition, the results demonstrate the superiority of the SPEA as a promising multiobjective evolutionary algorithm to solve different power system multiobjective optimization problems.…”
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms by Ghulam Mustafa (458105)

“…<p dir="ltr">Many individuals, including researchers, professors, and students, encounter difficulties when searching for scholarly documents, papers, and journals within a specific domain. …”