Performance Assessment of Foraging Algorithms vs. Evolutionary Algorithms by El-Abd, Mohammed

“…This work provides a complete performance assessment of the four mentioned algorithms in comparison to the widely known differential evolution (DE), genetic algorithms (GAs), harmony search (HS), and particle swarm optimization (PSO) algorithms when applied to the problem of unconstrained nonlinear continuous function optimization. …”
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An evolutionary algorithm for network topology design by Youssef, H.

“…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …”
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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning by Sait, Sadiq M.

“…These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
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Evolutionary algorithm for protein structure prediction by Mansour, Nashat

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Stochastic evolution algorithm for technology mapping by Al-Mulhem, A.S.

“…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …”
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A Novel Essential Mutation Method for Evolutionary Algorithms by Abou Doush, Iyad

“…The mutation is one of the operators that is used by many Evolutionary Algorithms (EA) to diversify the population (solutions). …”
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Evolutionary algorithms for VLSI multi-objective netlist partitioning by Sait, Sadiq M.

“…These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
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Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem by Abido, M. A.

“…Specifically, nondominated sorting genetic algorithm, niched Pareto genetic algorithm, and strength Pareto evolutionary algorithm (SPEA) have been developed and successfully applied to an environmental/economic electric power dispatch problem. …”
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Multiobjective evolutionary algorithms for electric power dispatch problem by Abido, M.A.

“…Specifically, nondominated sorting genetic algorithm, niched Pareto genetic algorithm, and strength Pareto evolutionary algorithm (SPEA) have been developed and successfully applied to an environmental/economic electric power dispatch problem. …”
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An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis by Harmanani, Haidar

“…This paper presents an evolutionary algorithm to solve the datapath allocation problem in high-level synthesis. …”
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Evolutionary algorithm for predicting all-atom protein structure by Mansour, Nashat

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Adaptive bias simulated evolution algorithm for placement by Youssef, H.

“…Simulated Evolution (SE) is a general meta-heuristic for combinatorial optimization problems. …”
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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS by Youssef, H.

“…In this paper, we present a Simulated Evolution algorithm for the design of campus network topology. …”
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Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm by Abido, M. A.

“…In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. …”
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Environmental/economic power dispatch using multiobjective evolutionary algorithms by Abido, M.A.

“…This paper presents a new multiobjective evolutionary algorithm for environmental/economic power dispatch (EED) problem. …”
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An evolutionary algorithm for solving the geometrically constrained site layout problem by Zouein, P.

“…This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. …”
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Fuzzy simulated evolution algorithm for topology design of campusnetworks by Youssef, H.

“…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …”
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A method for test scheduling using an evolutionary approach. (c2000) by Noujaim, Jad

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Fuzzy simulated evolution algorithm for VLSI cell placement. by Hussain, Ali Syed

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Fuzzy simulated evolution algorithm for VLSI cell placement by Sait, Sadiq M.

“…In this paper, we present a fuzzy simulated evolution (FSE) algorithm to tackle this problem. Identification of near optimal solutions is achieved through a novel goal-directed fuzzy search approach. …”
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